Sort by
Refine Your Search
-
optimization (theory, modeling, and tools). Candidates should apply at: https://www.princeton.edu/acad-positions/position/39361 and include a cover letter, CV (including a list of publications), research
-
preprocessing and curation in addition to model development and evaluation. This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology
-
design, Multiphysics modeling and microfabrication in a collaborative mindset to drive projects from concept to completion. This role involves leading one or more innovative research projects in particle
-
Models of Human Cognitive Function," and potentially seed projects supported by NAM. Candidates can read more about these core projects and funded seed projects at https://nam.ai.princeton.edu/research. In
-
solutions associated with large AI models. You will bring your advanced technical knowledge and project management experience to raise the computational capability of the team and translate key PLI priorities
-
simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
-
vitro and in vivo including analysis of mouse model of obesity and cancer. This is a one-year appointment with the possibility of extension. Depending on the prior experience of the applicant, candidates
-
demands a hands-on engineer with a strong foundation in Deterministic Lateral Displacement, CAD design, Multiphysics modeling and microfabrication in a collaborative mindset to drive projects from concept
-
interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
-
activities. MSE in Computer Science Expertise in machine learning and diffusion models specifically. Be advised that you will be contacted only if there is further interest in your application. Your candidate