Immediate openings are available in our research group at the intersection of single-cell and spatial genomics and machine learning. Visit Osmanbeyoglu Lab for more details.
We seek candidates with two primary interests:
Method Development and Application: Individuals interested in developing and applying methods, such as interpretable deep learning for single-cell and spatial genomics.
Cell Context-Specific Regulatory Programs: Those interested in applying and enhancing methods for delineating cell context-specific regulatory programs.
About the Position:
Postdoctoral researchers will tackle clinically important questions in cancer and immunology.
Engagement with broader systems biology communities through presentations at top conferences and publications in high-impact journals is encouraged.
Candidates should possess a PhD in an applied quantitative discipline, such as computational biology, bioinformatics, biostatistics, mathematics, or computer science, with a strong interest in translational biomedical research. Ideal candidates would have publications demonstrating experience with code development, applied mathematics, machine learning, deep learning, and/or computational biology. The successful candidate should be capable of working both independently and as part of a team, exhibiting qualities of diligence, motivation, and eagerness to learn, alongside an outstanding work ethic.
To express interest, kindly send an email to Dr. Hatice U Osmanbeyoglu at osmanbeyogluhu@pitt.edu. Please attach your CV (including references) and outline your research interests. Ensure to include the subject line: "POSTDOC-APPLICATION-2024" in your email.