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development information such as tables, charts, or graphs. · Develop and formulate best practices and protocols in data collection for analyzing and presenting data using AI/ML methodology
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, graph-based models), QSAR, virtual screening, or molecular docking/simulations. Knowledge in quantum chemistry calculations and molecule dynamics. Additional expertise that is desired (but not required
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diffusion models) for de novo molecular design. Proven experience in cheminformatics pipelines using tools such as RDKit, various molecular representation and encoding methods (SMILES, SELFIES, graph-based
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diffusion models) for de novo molecular design. Proven experience in cheminformatics pipelines using tools such as RDKit, various molecular representation and encoding methods (SMILES, SELFIES, graph-based
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Hernandez-Boussard, PhD (link is external) at boussard AT stanford DOT edu, and include all required application materials. If you have general questions, please contact the Boussard Lab Program Manager
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for distinguished professorship. Candidates in areas including, but not limited to, Algebra, Number Theory, Geometry, Topology, Combinatorics, Graph Theory are encouraged to apply. Responsibilities
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training. PhD: 3-4 years full-time; 5 years part-time; IPhD: 5 years full-time; MSc (Research): 1 year full-time; 2 years part-time; Apply now Research projects Research projects All self-funded projects can
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Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
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of computer science and engineering. However, we are particularly interested in candidates working at the frontiers of the following high priority area: Data mining, network analysis, graph neural networks, graph
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250 Faculty, 127 postdoctoral fellows (both MDs and PhDs) along with over 320 support staff (not including hospital staff). In addition, the Department has 68 clinical residents distributed across