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plant pathogens in organic production systems through a multi-institutional USDA/OREI funded project. The Postdoctoral Scholar will conduct or coordinate research computational analysis and pattern
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the human and other genomes. The successful applicant must have the ability to plan, execute, interpret, document, and troubleshoot independent research and to collaborate effectively with other computational
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expected to collaborate with a faculty mentor and supervisor and graduate students. Applicants should preferably have research interests in applying computational methods (broadly defined) to one or more of
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similarly take multiple hours. The candidate will be expected to learn aspects of 3D-graphics software, so should have computer literacy and show competency towards learning new computer programs. Skills in
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REQUIREMENTS The Hancock Lab in the Department of Biomedical Engineering is looking to hire a part-time research support worker. Duties include computational modeling of molecular motor function and developing
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opportunity in meteorology and atmospheric science and planetary atmospheres. The ideal candidate will have expertise in synoptic scale meteorology, scientific computer programming (python and/or MATLAB), data
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REQUIREMENTS Computer Science and Engineering is seeking applicants for a part-time AI Research Assistant – Interpretable and Verifiable AI (LLM-to-Logic Translation). Job Description: We are seeking a part-time
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, Computer Science, or a related field. Basic understanding of Python programming. Familiarity with natural language processing concepts is a plus. Strong analytical and problem-solving skills. Ability to work
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computing (MATLAB, Unix, Python) is highly desired. Excellent scientific writing skills are also desired. Interested candidates must submit an online application, and should upload the following application
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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data