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developments, algorithmic implementation, and analysis. Experience with electronic structure and dynamics, non-adiabatic molecular dynamics, and coding is strongly selected for. Please seehttps
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developments, algorithmic implementation, and analysis. Experience with electronic structure and dynamics, non-adiabatic molecular dynamics, and coding is strongly selected for. Please seehttps
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of the Research Support Associate is to assist the federally funded research team studying protein evolution and the origins of metabolism. Under the direction of the Principal Investigator, the Research Support
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working under the supervision of Prof. Jaideep Vaidya (the PI and Director, I-DSLA) to develop and analyze privacy-preserving solutions for biomedical data research, implementing the developed algorithms
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evolution in the digital age. The Hub’s findings are positioned to inform policymakers, technology leaders, law enforcement, and the public discourse, ensuring that research drives actionable change. Key
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savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu
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, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with
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of experimental data. Works closely with the PI in the development of analytical strategies to achieve the laboratory goals, including optimization of current algorithms used to determine transcription factor
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closely with the PI in the development of analytical strategies to achieve the laboratory goals, including optimization of current algorithms used to determine transcription factor binding dynamics
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scripting on Amarel computing cluster. Using these pipelines, download and analyze clinical and Next Generation Sequencing data (for cancer patients) from public repositories (including dbGaP). Develop and