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particularly the CAND multiscale drug discovery platform developed by the Division of Bioinformatics at the University at Buffalo: Integrating the CANDO drug discovery platform with LLM-based reasoning models
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, multiscale modeling, optimization, topological/geometric data analysis, among others. • Strong programming skills and experience (e.g., Python, R). • (Preferred) Interdisciplinary research experience with
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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants
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Positions: two postdoc positions in the development of electrodes materials for ultrahigh performance of metal-ion batteries via advanced multi-scale computational modeling About UM6P: Located
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acids, ligands), coarse-grain and polymer model development, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations
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with a consistent history of scientific publications and advanced theoretical and practical knowledge in geospatial modeling (PD#1) and remote sensing (PD#2), to create and analyze scenarios and models
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Description of the workplace This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address
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/Responsibilities: Participate in development of multiscale modeling framework for metal AM processes including various direct energy deposition (DED) and powder metallurgy based manufacturing. Participate in
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properties, or multiscale modeling will be preferred. The appointee will be expected to (i) develop and implement machine learning algorithms for materials design and discovery; (ii) collaborate with
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We invite applications for a Postdoctoral Research Assistant to undertake research in battery modeling within the Nextrode Project of the Faraday Institution, to work with Professor Jon Chapman