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Responsibilities: Integrate and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights Apply statistical and machine learning models to identify cancer risk
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of machine learning, simulation-driven testing, and iterative calibration based on real-world datasets. Contribute to scholarly publications, technical documentation, and progress reports required by funding
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Investigator (PI) or team lead with project management tasks. Job Requirements: PhD degree in Optimization, Artificial Intelligence, Transportation or Aerospace. Evidence of developing Machine Learning and
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the public at large. Any other assigned duties Requirements: Candidates should be passionate about teaching and learning, hold a PhD or at least a Master's degree in related disciplines, and have
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. The role will focus on developing machine learning and mathematical optimization solutions for electric vehicle fleet charging optimization under different constraints. Key Responsibilities: Formulate
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous
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, reinforcement learning, AI agents, and machine learning. Job Description Conduct research in the field of neural networks, natural language processing (NLP), and large language models (LLMs). Independently read
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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, robotics, and machine learning. Successful candidates will receive a four-year grant towards obtaining a PhD in mathematics. Some candidates may need to provide GRE scores and/or proof of proficiency in