662 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Computational Neurogenomics / AI - Postdoctoral Associate Yale School of Medicine | Adams Center for Parkinson’s Disease Research | New Haven, USA Join a mission-driven team at Yale to build a
-
websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
-
collaboration with engineering and communication sciences and disorders. Position Overview We seek a PhD-level investigator with an established, externally funded research program in hearing loss, cochlear
-
The laboratory of Professor Tirin Moore at Stanford University is seeking a Software Engineer. The Moore lab seeks to understand the neural circuits underlying fundamental perceptual and cognitive
-
Research Scientist. The CSBC is the collaborative interface of the C3D, working with St Jude researchers campus-wide to disseminate and implement the computational technological developments of the C3D. As a
-
responses in the heart. Read more about Dr. Fang's research in ISHR award brochure: https://cdn.ymaws.com/ishrworld.org/resource/resmgr/pdf/oia_brochure_fang_2025_final.pdf ). Dr. Fang is committed
-
, support, and encouragement to advance and grow their careers. Job Overview The Program Administrator - Research Integrity reports to the Senior Program Manager, Research Integrity and plays an important
-
expected to develop a strong, grant-funded research program. Faculty members also are expected to participate in one or more of UCSF's 15 PhD programs in basic and biomedical sciences, including teaching
-
things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at https://medschool.ucla.edu/cultural-north- star
-
with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing