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graduate students and research trainees as appropriate. Qualifications PhD, MD, or MD/PhD in cardiovascular biology, physiology, molecular biology, or a related field. Experience in patch-clamp
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holding a PhD degree in Biomedical Sciences or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible
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profiles of radar observations, and applying machine learning and artificial intelligence methods to radar-derived quasi-vertical profiles to track features in the quasi-vertical profiles. Expected to work
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scholars. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical
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fieldwork for the plant disease epidemiology program, focusing on research on field crops such as corn, soybeans, and wheat. We are a dynamic lab that employs various methods to manage plant diseases
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of designing hypothesis-based experiments, executing studies, and preparing manuscripts. Requires a PhD in Biochemistry or related field; significant experience in molecular biology, biochemistry, and mouse
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, including diversity, equity and inclusion, through excellent informal and formal communications. Support campaigns and event logistics (in-person and/or virtual). Attend development staff meetings and serve
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have a background in life sciences, physical sciences, law and/or business. Graduate students (e.g., JD, MS, MBA, PhD students) interested in pursuing a career in technology transfer are strongly
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of insects. Relevant job training will be provided; students will gain familiarity with major bioinformatics software packages and develop a working knowledge of genome biology and related sciences such as
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collaborate closely with CCMA faculty on cutting-edge research projects involving design, analysis and implementation of advanced numerical methods and algorithms in interdisciplinary applications. The position