Posting 0624487: The Beirne B. Carter Immunology Center and the Department of Biomedical Engineering at the University of Virginia seeks a postdoctoral Research Associate to work in the laboratories of Dr. Sarah Ewald and Dr. Jeff Holmes. The successful applicant will bridge both labs, applying a new optical micro proteomics technology to address outstanding questions in the development of cardiac fibrosis. This position is funded by the American Heart Foundation. Candidates must have an M.D. and/or a Ph.D. degree in hand by the start date and have demonstrated expertise in proteomics, large data set analysis, cell biology, biochemistry, or a related field. A strong interest or background in technology development is desired. The individual should be self-motivated, have developed skills in team work, written and oral communication as well as the design and analysis of experimental questions. To apply visit jobs.virginia.edu and search for posting 0624487.
Posting Number 0624068. The Department of Biomedical Engineering at the University of Virginia is seeking a Research Associate in Dr. Kristen Naegle's laboratory with expertise in computational biology. The new postdoctoral team member will lead a funded project on developing an algorithm to predict kinase activities from phosphoproteomic data. It will involve understanding the relationship between kinases and their substrates and knowledge in network and statistical theory. Additionally, this work will involve collaboration with oncologists and collaborators across the country. This work is funded by an R21 award from the NCI for the Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management. A Ph.D. degree in Biomedical Engineering or a closely related discipline by the start date is required. Candidates must have a strong background in computational biology. Additionally, an ideal candidate would have previous experience in at least two of the following skillsets: Bayesian statistics, graph theory, algorithm development, cancer, and phosphorylation. This is a one-year appointment; however, appointment may be renewed contingent upon available funding and satisfactory performance. To apply, visit http://jobs.virginia.edu and search on Posting Number 0624068. Complete a Candidate Profile online and attach a cover letter, curriculum vitae, and contact information for three references. The position will remain open to applications until filled. For questions about the positions or lab, please contact Kristen Naegle at kmn4mj@virginia.edu. For questions about the application process, please contact Rich Haverstrom at rkh6j@virginia.edu. With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.
Posting Number 0623873. The Department of Biomedical Engineering at the University of Virginia is seeking Research Associates in Dr. Kristen Naegle's laboratory with expertise in molecular biology and cell signaling. The new postdoctoral team members will lead a funded project on developing enzymatic technologies to produce phosphorylated proteins and study the role of conserved tyrosine phosphorylation in signaling domains. This project is enabled by extensive development in the lab on driving recombinant protein phosphorylation and functional assays for domain testing. Candidates must have a Ph.D. degree in Molecular Biology, Biochemistry, Bioengineering, Quantitative Biology or a closely related discipline by the start date. Previous experience in molecular techniques, cell signaling, protein purification, and protein analysis is required. The candidate must express an eagerness to work in an interdisciplinary team, develop novel approaches, and delve deep into the meaning of regulation in signal transduction. This is a one year appointment; however appointment may be renewed for an additional two, one-year increments, contingent upon available funding and satisfactory performance. To apply, visit http://jobs.virginia.edu and search on Posting Number 0623873. Complete a Candidate Profile online and attach a cover letter, curriculum vitae, and contact information for three references. The position will remain open to applications until filled. For questions about the positions or lab, please contact Kristen Naegle at kmn4mj@virginia.edu. For questions about the application process, please contact Rich Haverstrom at rkh6j@virginia.edu. With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.
Posting Number 0623483. The Department of Biomedical Engineering at the University of Virginia seeks multiple Research Associates to work in the laboratory of Dr. Gustavo Rohde to perform research on computational predictive modeling, and image and signal analysis with applications to biomedical imaging, cancer detection, signal analysis and others. The Research Associates will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and bioinformatics. 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 0623483. 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. With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.