50 machine-learning "https:" "https:" "https:" "https:" "https:" research jobs at Rutgers University
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proficient in working with large data-sets (observational or numerical), machine learning, and running/analyzing numerical simulations. The initial appointment will be for two years at Rutgers University
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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will learn the appropriate scientific methods and procedures. Rutgers Cancer Institute leverages numerous experimental approaches. Including single-cell genomics by next-generation sequencing, in situ
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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tissue cultures, performing animal-based studies, and learning to process clinical samples. Key responsibilities include culturing various lung cell types (both primary cells and established cell lines
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Candidates must have the ability to work independently as well as collaboratively within a diverse group and be willing to learn techniques and methodologies. Candidates must be highly motivated, creative and
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Strong background in quantum chemistry, computational physics, or machine learning; Proficiency in scientific programming; Excellent communication and scientific writing skills. Preferred Qualifications
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renewable for a second year pending budgetary approval. In addition, the research support, the position offers the opportunity to teach one 3-credit course per academic year designed to help undergraduate