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Field
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binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
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Position Announcement - Mohammed VI Polytechnic University (UM6P), College of Agriculture and Environmental Science (CSAES), AgroBioSciences program (AgBS), Job Title - Vacancy for Post-Doctoral
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Machine Learning Scientist to join the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including
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highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which
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The Genetics Department at Stanford University is seeking a Software Developer 2 to conceptualize, develop, supervise, and implement novel computational approaches for genomics. The successful applicant must
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques
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of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Key Responsibilities: Develop and implement advanced algorithms for analyzing calcium
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within the assigned region. Assists in the development and implementation of UCHC’s policies and procedures. Participates in UCHC’s continuous quality improvement program. Corrective action plans
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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researchers from oncology, radiobiology, computer science, genetics, statistics, and basic/translational clinical research. Our research couples state-of-the-art computational and experimental techniques