Virginia BME has seven postdoctoral research openings attached to some of our most exciting new initiatives. Position descriptions and application information for these training opportunities are below.

 

Mentor Kevin Janes PhD: Develop and apply multidisciplinary experimental and computational approaches to cancer systems biology.

Mentor Jeff Holmes MD PhD: Spearhead the development and testing of a new Virtual CRT software platform that allows clinicians to customize CRT therapy for individual patients.

Mentor Jeff Holmes MD PhD and Jeff Saucerman PhD: Spearhead the development, integration, and validation of signaling and agent-based models of post-infarction healing and fibrosis.

Mentor John Hossack PhD: Develop new signal and image processing algorithms using mainly Matlab and Verasonics programmable ultrasound research scanner.

Mentor Rich Price PhD 1: Investigate the interplay between Endothelial Mechanobiology, Epigenetics, and Arteriogenesis.

Mentor Rich Price PhD 2:  Develop MRI-guided focused ultrasound to deliver gene- and drug-bearing nanoparticles across the blood-brain barrier. Investigate how focused ultrasound can be used to elicit anti-tumor immune responses in cancer.

Mentor Gustavo Rohde PhD: Design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and bioinformatics.

 

Mentor: Kevin A. Janes, PhD, Postdoctoral Position in the Cancer Systems Biology Lab

With support from three NCI-funded grants (R01-CA194470, U01-CA215794-A1, R01-CA214718-A1), the Cell-Signaling Bioanalysis Laboratory in the Department of Biomedical Engineering at the University of Virginia is making available one postdoctoral fellowship in the area of cancer systems biology. Open projects include:

  • Laser-capture microdissection, stochastic profiling, and computational analysis of a genetically engineered mouse model of glioma (Proc. Natl. Acad. Sci. 111:E4214-23 [2014], Proc. Natl.Acad. Sci. 111, E626-635 [2014])—collaboration with Dr. Hui Zong, Department of Microbiology,Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA
  • Systems-level modeling and analysis of incompletely penetrant oncophenotypes downstream of ErbB receptor tyrosine kinase activation in breast cancer—collaboration with Dr. Fabian Theis, Institute for Computational Biology, Helmholtz Center, Munich, Germany
  • Molecular-genetic analyses of growth differentiation factor-11 misregulation in triple-negative breast cancer (Nat. Cell Biol. 16, 345-356 [2014])—collaboration with Dr. Kristen Atkins, Department of Pathology, University of Virginia, Charlottesville, VA

We welcome recent or forthcoming Ph.D. graduates with a strong background in bioengineering quantitative molecular biology, cancer biology, or a related discipline with an eagerness to develop and apply multidisciplinary experimental and computational approaches to cancer systems biology. The ideal start date is before January 2018 but can be flexible depending upon the circumstances.

The University of Virginia is a unique scientific institution where high-impact research can be done in an intimate and collegial environment. The Janes Lab is an ambitious and highly interactive eight-person group located centrally at the University of Virginia Health Sciences Center. Postdoctoral Fellows work side-by-side with the PI and are given extensive guidance on scientific communication, technical writing, information design, and mentorship. Students and fellows have published in top journals, won competitive national fellowships and awards, and obtained follow-on positions in academia and industry. Postdoctoral fellows for the current position will also gain access to the NCIorganized Cancer Systems Biology Consortium (http://csbconsortium.org/), which supports junior investigators through transition to the next step in their career.

For more information about the Janes Lab, please visit http://bme.virginia.edu/janes/. Interested applicants should email their CV and a list of three references to kjanes@virginia.edu. Underrepresented candidates are especially encouraged to apply.

 

Mentor: Jeff Holmes, MD PhD, Postdoctoral with the Cardiac Biomechanics Group

The University of Virginia’s Cardiac Biomechanics Group, directed by Dr. Jeff Holmes, seeks a Postdoctoral Research Associate to develop and test computational models of growth and remodeling in response to cardiac resynchronization therapy (CRT). In collaboration with Dr. Ken Bilchick (Cardiology), the Research Associate will spearhead the development and testing of a new Virtual CRT software platform that allows clinicians to customize CRT therapy for individual patients. 

Candidates must hold a PhD in Biomedical Engineering, Bioengineering, Computer Science, or a related field by the start date, and must have extensive experience with computational modeling. Candidates must also have excellent communication skills and the ability to work both independently and as part of a collaborative team. Successful applicants will have performed computational modeling studies that resulted in lead-author publications in biomedical engineering and/or computational modeling journals. Prior experience in MATLAB programming is preferred, as is experience designing software user interfaces.

Interested applicants should Interested applicants should apply for Posting Number 0621392 at https://jobs.virginia.edu, or contact Dr. Holmes directly (holmes@virginia.edu). The position will remain open until filled. For a description of the labs’ overall research interests, visit http://bme.virginia.edu/holmes/.

The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.

 

Mentors: Jeff Holmes MD PhD and Jeff Saucerman PhD, Joint Postdoctoral Position with the Cardiac Systems Biology Lab & Cardiac Biomechanics Group

The University of Virginia’s Cardiac Systems Biology Lab, directed by Dr. Jeff Saucerman, and Cardiac Biomechanics Group, directed by Dr. Jeff Holmes, seek a Postdoctoral Research Associate to develop and test computational models of cardiac fibrosis. We are integrating network models of intracellular signaling with agent-based models of inflammation and scar formation to design novel pharmacologic interventions that provide spatial and temporal control over cardiac fibrosis. The Research Associate will spearhead the development, integration, and validation of signaling and agent-based models of post-infarction healing and fibrosis.

Candidates must hold a PhD in Biomedical Engineering, Bioengineering, or a related field by the start date, and must have extensive experience with computational modeling. Candidates must also have good communication skills and the ability to work both independently and as part of a large collaborative team. Successful applicants will have performed computational modeling studies that resulted in lead-author publications in systems biology, bioinformatics, or biomechanics journals. Prior experience in Java/Python/MATLAB programming is preferred, as is experience with modeling of biological networks, biochemical reaction rate modeling, agent-based modeling, and/or finite-element modeling. Experience with fibroblast cell culture, histology, or other experimental techniques relevant to cardiac fibrosis would be beneficial but is not required.

Interested applicants should apply for Posting Number 0621445 at https://jobs.virginia.edu, or contact Dr. Saucerman (jsaucerman@virginia.edu) or Dr. Holmes (holmes@virginia.edu). The position will remain open until filled. For a description of the labs’ overall research interests, visit http://bme.virginia.edu/saucerman/ and http://bme.virginia.edu/holmes/.

The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.

 

Mentor: John Hossack PhD, Postdoctoral Position in Ultrasound imaging and Drug delivery

One to two postdoctoral research positions available involving multiple laboratories (Hossack/Mauldin, Klibanov) arising from two recent NIH R01 grants.

Projects involve developing new signal / image processing algorithms using mainly Matlab and Verasonics programmable ultrasound research scanner.

Our lab has an excellent record with sending graduates to top institutions and industry research / development (GE, Philips, etc.) We also have a strong record in student fellowships (AHA, NSF) and conference awards (IEEE IUS student poster awards, WMIC travel awards etc.) Post docs have an opportunity to develop independent research skills, paper / grant writing and oral / poster research presentation.

Desired skills/knowledge: Ultrasound propagation physics, linear systems / signal processing, field modeling, contrast agent imaging, small animal technique - imaging only plus IV injection. (Two positions – not all skills required for both positions)

Contact information:  John Hossack, 434 243 5866, hossack@virginia.edu

 

Mentor: Rich Price, PhD Postdoctoral Fellowships in Image-Guided Drug and Gene Delivery

The Price Lab in the Department of Biomedical Engineering at the University of Virginia is seeking Postdoctoral Fellows in the field of Image-Guided Drug and Gene Delivery. Available projects entail using MRI-guided focused ultrasound to deliver gene- and drug-bearing nanoparticles across the blood-brain barrier to treat brain tumors and Parkinson’s disease. We are also actively investigating how focused ultrasound can be used to elicit anti-tumor immune responses against breast cancer and melanoma. We work closely with UVa investigators in Radiology, the Human Immunotherapy Center, Neuro-oncology, and Cardiovascular Medicine, and we have a long-standing collaboration with investigators in the Johns Hopkins Center for Nanomedicine. Positions are funded by the following grants, but multiple training grant opportunities exist:

  • NIH R01 CA197111. Immunotherapeutic NP Delivery to Melanoma With MR-Guided Focused Ultrasound.
  • NIH R01 EB020147. MRI-Guided miRNA Nanoparticle Delivery to Glioblastoma With Focused Ultrasound.
  • NIH R01 CA204968. Targeted Delivery of Brain Penetrating DNA Nanoparticles to Brain Tumors.
  • FUSF. Minimally-Invasive Therapy for Parkinson’s Disease Achieved by the Focused Ultrasound-Targeted Delivery of Gene-Bearing Nanocarriers.

Relevant Recent Publications Include:

  • Novel Focused Ultrasound Gene Therapy Approach Non-Invasively Restores Dopaminergic Neuron Function in a Rat Parkinson’s Disease Model. Nano Lett. 17:3533-3542; 2017.
  • MR Image-Guided Delivery of Cisplatin-Loaded Brain-Penetrating Nanoparticles to Invasive Glioma with Focused Ultrasound. J Control Release. DOI: 10.1016/j.jconrel.2017.03.017. 2017.
  • Focused Ultrasound Immunotherapy for Central Nervous System Pathologies: Challenges and Opportunities. Theranostics. 7:3608-3623; 2017.
  • Targeted Gene Transfer to the Brain via the Delivery of Brain-Penetrating DNA Nanoparticles with Focused Ultrasound. J Control Release. 223: 109-117; 2016.
  • Noninvasive Delivery of Stealth Brain Penetrating Nanoparticles Across the Blood-Brain Barrier with MR Image- Guided Focused Ultrasound. J Control Release. 189:123-132; 2014.

Positions are open now, but start dates can be moved to summer or fall 2018 for qualified candidates receiving PhD degrees this spring. Our research is highly multidisciplinary, so positions are open to candidates with a Ph.D. in Biomedical Engineering or any number of related fields (e.g. Chemical Engineering, Electrical Engineering, Immunology, Cancer Biology, and Neuroscience). To learn more about our group, please visit http://price-lab.org. Interested applicants should email their CV to rprice@virginia.edu.

 

Mentor: Rich Price, PhD Postdoctoral Fellowship in Endothelial Cell Mechanobiology

The Price Lab in the Department of Biomedical Engineering at the University of Virginia is seeking a Postdoctoral Fellow to investigate the interplay between Endothelial Mechanobiology, Epigenetics, and Blood Vessel Growth (Arteriogenesis). In this project, we are using a combination of both in-vivo and in-vitro methods and focusing on the epigenetic regulation of arteriogenesis by non-coding RNAs (i.e. microRNAs and long non-coding RNAs) and DNA methylation. Ultimately, these studies will enhance our fundamental understanding of arteriogenesis and may also have important bearing on the development of therapeutic strategies in patients with arterial occlusive diseases. The project is funded by the following NIH grant, but opportunities for support from the Cardiovascular Research Training Grant also exist.

  • R21EB024323. Endothelial DNA Methylation, Arteriogenic Capacity, and Shear Stress "Set-Point".

The research is most closely related to the following publication:

  • Mechanisms of Amplified Arteriogenesis in Collateral Artery Segments Exposed to Reversed Flow Direction. Arterioscler Thromb & Vasc Biol. 35: 2354-2365. 2015.

The position is open now, but the start date can be moved to summer or fall 2018 for qualified candidates receiving PhD degrees this spring. Positions are open to candidates with a Ph.D. in Biomedical Engineering or any number of related fields. To learn more about our group, please visit http://price-lab.org. Interested applicants should email their CV to rprice@virginia.edu.

 

Mentor: Gustavo Rohde, PhD Postdoctoral position in Biomedical imaging and Data science

Dr. Rohde’s laboratory in the Department of Biomedical Engineering, and Department of Electrical and Computer Engineering, University of Virginia, is seeking research associates to study a variety of problems related to signal processing, imaging, and data science. Example problems include cancer detection, modeling brain anatomy, optical communications, and the design of new signal transforms for machine learning, among others. The Research Associate will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and bioinformatics, and other problems.

Candidates must hold a PhD in Biomedical Engineering, Electrical and Computer Engineering, Computer Science, or a closely related discipline by the start date. Candidates must also show evidence of research productivity (e.g. papers, patents, presentations, etc), and have the ability to implement computer algorithms. To apply, visit https://jobs.virginia.edu and search on Posting Number 0618874. Complete a candidate profile on-line; attach a CV, cover letter, contact information for three references and a statement of Research Interest. The position will remain open until filled.

The University of Virginia is an affirmative action/equal opportunity employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.