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principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data analysis and handling ‘omics
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, ECCV, ICML, NeurIPS, and ICLR annually. Additionally, contribute to teaching the CAP6411 course. Minimum Qualifications: PhD in Computer Science or another related field Preferred Qualifications
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principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data analysis and handling omics
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) therapies for melanoma. This position offers a unique opportunity to work at the intersection of cutting-edge cancer immunotherapy and advanced computational biology. Position Overview: • Full-time
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electrochemical separations. Work alongside researchers in materials science, chemical engineering, mechanical engineering, chemistry, and physics to develop innovative membrane technologies. Optimize membrane
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14853, United States of America [map ] Subject Areas: Nutrition Data Science Public Health Epidemiology Bioinformatics / Clinical , Computer Science , Mathematics , statistics (more...) Medicine Salary
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a responsibility to uphold these values. Application Materials Required: Further Info: https://users.cs.duke.edu/~cynthia/home.html ----- Department of Computer Science Box 90129 Duke University
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state physics, chemistry and materials science. Demonstrated mastery of diamond anvil cell preparation and sample loading. Experience in synchrotron X-ray diffraction and Raman spectroscopy measurements
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materials manufacturing smart infrastructure sports engineering Our department hosts a leading digital manufacturing hub (PrintCity ), with a wide range of equipment that can be used to make mechanical
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collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant to the project (in