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apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
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University of Applied Sciences create a unique environment for multidisciplinary, inspirational, and high-impact research and education. Our universities community has its competitive edges in technology
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to characterize and manage fracture connectivity and optimize fluid distribution within granites and sedimentary rocks, maximize heat sweep efficiency, reduce preferential flow through highly conductive fractures
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proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use
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solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes
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population genetics or population genomics. • Experience with bioinformatic analysis of Next Generation Sequencing data, including command-line work in a high-performance computing environment
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research. Key responsibilities will include: Research. Develop and contribute to high-impact research programs, manage and analyse data, apply best-practice methodologies, and communicate findings to expert
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these systems into day-to-day research operations to ensure high quality, compliant, and consistent data collection. Monitor adverse events and ensure they are properly documented and reported to the Sponsor(s
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ambitious researcher to publish high-impact science, develop highly sought-after expertise in complex subsurface fluid transport, and collaborate directly with leading industry researchers. We provide a
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their applications in concrete system. The role will focus on performing independent and collaborative research to meet the project objectives, developing new solutions, and publishing high-quality