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of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant conduct policies pertaining to other schools at Duke University
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in
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code, and make effective use of computational resources. • To conduct individual and collaborative research projects under the direction of the Principal Investigator and with other
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conduct cutting-edge research smart contract development, and implementation for innovative applications and code analysis with the scope of on-chain data collection. The candidate would also be involved in
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or other code repository Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged
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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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conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Possessing a
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, Code of Conduct, and Conflict of Interest Policy. Understands, demonstrates, and models the Rutgers Cancer Institute of New Jersey core values. Keeps abreast of all pertinent federal, state and Rutgers’s
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coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds. Excellent written and verbal communication skills. Experience in processing large data sets