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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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) and spatial Machine Learning (ML) models Salary and full employee benefits are offered in accordance with Princeton University guidelines. The Term of appointment is based on rank. Positions
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facilitate scheduling machine use and also connect with vendors to ensure that equipment is well-maintained. The cell engineering facility director will play a central role in the ODBI community and research
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facilitate scheduling machine use and also connect with vendors to ensure that equipment is well-maintained. The cell engineering facility director will play a central role in the ODBI community and research
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] Subject Areas: Computational Biology / Data Analytics Machine Learning / Machine Learning Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering
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psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
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: 271303894 Position: AI/machine learning for performance-enhancing drug identification Description: The Skinnider Lab at Princeton University aims to recruit a postdoctoral or more senior research position
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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants
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acids, ligands), coarse-grain and polymer model development, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations
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applicants who advance discovery in their fields of scholarship using techniques from machine learning and statistics. Applicants may also make research advances in machine learning and statistical methods