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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2024-Guthrie How to Apply A complete application consists of: An application, including academic history, work
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and
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substantial experience with machine learning techniques. You have experience with the PreFer data challenge. You have experience with working with Dutch register data. You have the ability to identify
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 15 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Gamwo How to Apply A complete application consists of: An application, including academic history, work
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, permeability, and cytochrome P450 interactions would be advantageous; ▪ Knowledge and/or openness to learn of computer-aided drug design methods, in particular molecular docking, pharmacophore modelling, or in
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-quality datasets that are structured and annotated for simulation and machine learning. Develop Digital Twins and simulation pipelines for virtual validation and predictive performance assessment. Implement
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postdoctoral appointment in Remote Sensing of the land surface, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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Department with significant expertise in Machine Learning/AI are available to help provide overall guidance and strategy to the postdoc. Stanford Departments and Centers: Anesthesiology, Perioperative and Pain
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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly