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provides hands-on experience in algorithm design, computational testing, hardware demonstrations, and close collaboration with graduate students and faculty mentors. Key Responsibilities: Design and
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tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Summary: This position is for a statistical programmer in genomics (PI: Dr. PingHsun Hsieh, the Department of Genetics, Cell
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are interested in understanding the evolution and genetic basis of human disease. For this purpose, we analyze genomic and phenotypic data that requires writing computer programs that can read and wrangle various
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candidate to fill one Research Professional 5 - Educational Research position. The position will primarily focus on building large datasets and developing algorithms to detect cognitive/affective states
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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. Candidates must have demonstrated ability in teaching and scholarly productivity. The position is open to MDs or PhDs with training in Cytogenetics or Laboratory Genetics and Genomics. Requirements include
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cause of death in the world. Using innovative techniques in mycobacterial genetics and cellular immunology, we aim to better characterize mammalian adaptive immune responses in this devastating infection
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. Broadly, we are interested in understanding the evolution and genetic basis of human disease. For this purpose, we analyze large amounts of genomic and phenotypic data that requires writing computer
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carry out experiments to understand bacterial physiology and genetics. 15% Publication and Presentation of Data The postdoctoral scholar is expected to communicate their research findings through