Sort by
Refine Your Search
-
bibliography). 3. Provide one or two publications or writing samples, which may be from pre- or post-doctoral work, a dissertation chapter, or a manuscript in process. Publications are intended to gauge
-
work, a dissertation chapter, or a manuscript in process. Publications are intended to gauge the research and writing capability of applicants and do not necessarily need to be on the topic
-
control mechanisms in development and disease. The lab pioneered global study of RNA polymerase pausing during early transcription and has particular interest in investigating the complex interplay between
-
on topics in the science and theory of generative modeling, including (but not limited to): (1) diffusion language models, (2) reward tilting, (3) complexity of score estimation, and (4) sampling with advice
-
differences enrich the work environment for all. Not ready to apply? Join our talent community here! Basic Qualifications What you’ll Need: Applicants are expected to hold a Ph.D. Experience with computer
-
. Cross-Disciplinary Fellowships (CDF) are for applicants with a PhD from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
-
with computational environments for ’omics data manipulation (command line, Python, R, etc.) * Deep knowledge in at least one relevant subdiscipline, i.e. bioinformatics, microbiology, microbial ecology
-
cloud platforms for compute and storage. Version Control & CI/CD: Git, automated testing, deployment workflows. Experience with Linux systems, HPC, and distributed computing environments. Knowledge
-
countervailing immunoediting processes that seek to control and eradicate these cancers. This project specifically focuses on ovarian cancer, a difficult-to-treat and life-threatening cancer for which early
-
that approximate natural settings, while allowing electrophysiological recordings, high-resolution optical imaging and optogenetic manipulation. In the current project, we are interested in studying learning and