427 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Nature Careers in United States
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reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office (https://uwaterloo.ca/indigenous
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: https://obgyn.uchicago.edu/research/griffith-laboratory Required Qualifications: Qualifications needed for this position include a PhD in clinical psychology or a related field, such as psychology
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in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
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The Instructional Learning Designer supports the design, development, and implementation of K-16 STEMM curriculum that translates authentic St. Jude research into engaging, classroom-ready learning
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of cryo-electron tomography (cryoET), molecular dynamics simulation, and machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules
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, and structural studies including X-ray crystallography. More information can be found on their website: https://mcb.berkeley.edu/labs/meyer/index.html What We Provide: One-on-one mentorship with a
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. degree and should possess good communication skills. Visit our lab website at: https://med.virginia.edu/le-lab/ Read our publications at: https://med.virginia.edu/le-lab/publications/ Interested candidates
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climate change, fostering sustainable agriculture, and preserving global biodiversity ( https://www.psb.ugent.be/ ). In this respect, an important research topic of the center is the interaction between
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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diseases, Genome Biology, 2024 S. Hudaiberdiev et al., Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits, PNAS, 2023 S. Li et