181 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in United States
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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genetic screens in lung cancer cell models Culture and manipulate human lung cancer cell lines and organoids, including transfections and viral transductions Perform drug sensitivity assays in vitro and
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, environmental engineering/science, computer science, industrial or mechanical engineering, and decision science. The successful candidate will contribute to ongoing NSF-funded research projects during the initial
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 10 hours ago
for the position of research assistant professor with a significant outreach component. Expectations of the position will be to develop an externally supported research program in agroforestry and contribute
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at the Research Assistant Professor level. Anticipated start date Autumn 2025 or Winter 2026. A successful candidate is expected to develop an independent research program. This position will use skills including
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received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University
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identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or
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DEPARTMENT The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu) offers Bachelor of Science (B.S.) and Master of Science (M.S.) degrees in Electrical Engineering and in Computer
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Working Title PhD MSE - Research Assistant Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Mechanical Engineering
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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence