61 machine-learning "https:" "https:" "https:" positions at Nature Careers in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The Chiu Lab (https://chiu-lab.org/ ) focuses on developing state-of-the-art multimodal AI models for cancer research. Our recent publications have been recognized by both the cancer research and
-
scales. We encourage the use of theory and computation as well as experiment, and welcome applicants who use machine-learning and artificial intelligence methods to enhance their research programs. We
-
, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine Learning, or a closely related field. Strong understanding and
-
scales. We encourage the use of theory and computation as well as experiment, and welcome applicants who use machine-learning and artificial intelligence methods to enhance their research programs. We
-
Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to the development of AI/machine learning approaches for chemical and
-
of cryo-electron tomography (cryoET), molecular dynamics simulation, and machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules
-
in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
-
: https://obgyn.uchicago.edu/research/griffith-laboratory Required Qualifications: Qualifications needed for this position include a PhD in clinical psychology or a related field, such as psychology
-
, and structural studies including X-ray crystallography. More information can be found on their website: https://mcb.berkeley.edu/labs/meyer/index.html What We Provide: One-on-one mentorship with a
-
positions in the area of Artificial Intelligence (AI) and Machine Learning (ML) in Drug Discovery. This is a unique cluster hire initiative spanning the College of Pharmacy, Life Sciences Institute (LSI), and