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laboratories for chemistry, materials, biology, etc. AI/ML for predictive modeling and inverse design Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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community with essential and transformative technologies to advance education, knowledge, and discovery. HUIT’s core values are: Human-centered University-focused Innovation-driven Team-oriented IT Academy
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Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Smart Economy Program
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Posting Summary Logo Posting Number STA00692PO26 Job Family Operational Analysis Job Function Business Intelligence USC Market Title Data Engineer Link to USC Market Title https://uscjobs.sc.edu
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are: Required degree: Ph.D. in a field related to environmental modeling, data-driven modeling of natural systems, hydrogeology, hydrology, etc. Primary selection criteria for teaching activities: Quality
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(python, Java) are important parts of this PhD track. The candidate starts from insights in the system and physics-based modelling. Data-driven approaches are not the focus of this project. The candidate is
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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Regular Job Code 9703MA Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The University of Minnesota Duluth development team is a high performing, mission driven
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
interests to [email protected] by 15 August 2026. Source: https://www.uochb.cz/en/open-positions/429/postdoctoral-researcher-ai-in-life-sciences-foundation-models-for-proteins-dna IOCB Prague