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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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, 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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) from public repositories (including dbGaP). Develop and apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic responses in cancer patients
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Algorithms. Successful candidates will hold a joint appointment with IDRIS (The Institute for Data, Research, and Innovation Science). Review of applications will begin November 1, 2025 and will continue until
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working with ML/DL platforms and algorithms. Track record of working with domain experts, researchers, and stakeholders to support diverse science and engineering applications. City: Piscataway State: NJ
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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
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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at assistant, associate, or full professor levels) in the area of: · Information policy We seek a candidate who critically engages scholarly study, analysis and/or development of information policy
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sciences, ecology and evolution, marine science and oceanography, environmental sciences and meteorology, human ecology, entomology, and environmental economics. In addition to instruction in the classroom