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adapting machine-learning approaches for structure-based and generative molecular design. Integrating physicochemical information, including protein–ligand interaction features, into generative AI
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you would like to have an informal chat about this project. References https://sites.google.com/site/danadamian Funding Notes We welcome inquiries from: - applicants that have already secured PhD
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a candidate with deep insight and interest in investigating the interaction between
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Terrassa, Cataluna | Spain | about 1 month ago
flame propagation, flame-wall interaction and heat transfer. Functions to be developed: Design and operate combustion, flame propagation and flame-wall interaction experiments, including hydrogen flames
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approaches for drug design by combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038
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. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9015-WENMAC-001/Default.aspx Requirements Research Field Engineering Education Level PhD or equivalent Research Field Computer science
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Michigan State University | about 2 months ago
interaction and structural modeling) to drive impactful discoveries. Detailed description of work/duties: Laboratory Management & Operations (20%) Operational Oversight: Manage daily laboratory
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interaction and structural modeling) to drive impactful discoveries. Detailed description of work/duties: Laboratory Management & Operations (20%) Operational Oversight: Manage daily laboratory
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-Computer Interaction (HCI) is a field of expertise focused on the evolving relationship between people and computing systems. HCI researchers design and study new ways for people to interact
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-effective steam production.The PhD position in The SySi Team will focus on the integrated steam system design and control in a multi-energy vector context, using physics-based non-linear Model Predictive