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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
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For more information about the position, please contact Prof. dr Liesje Mommer, via +31 6 20921336 or email: Liesje.Mommer@wur.nl . Questions about the procedure? Get in touch with Jessa Rozema, Corporate Recruiter, via jessa.rozema-stol@wur.nl Ready to apply? Click on the application button...
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Do you have passion for sustainable design and development of new materials by combining experiments and modeling? We are looking for motivated candidates for three PhD positions in AI-STEEL Project
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The SCS department at UT's Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) advances semantic modelling, cybersecurity, and service design to enable meaningful computing
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strategies for programming, modeling, and integrating reconfigurable/spatial architectures, such as FPGAs and ML accelerators, within heterogeneous ICT ecosystems.Reconfigurable and Spatial hardware, such as
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Three PhD positions at TU/e in collaboration with Canon Production Printing, combining polymer science, rheology, and computational modeling to create the inks and coatings of tomorrow. Information
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project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
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impact on the northern Greenland Ice Sheet with coupled models. You will collaborate with leading scientists in Germany and The Netherlands, and become an all round scientists who uses both models and
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offers a PhD position on the role of macromolecular crowding in ageing and neurodegenerative diseases, studied in the model organism C. elegans. Your job The living cell is highly crowded with
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diseases, studied in the model organism C. elegans. Your job The living cell is highly crowded with macromolecules such as proteins and nucleic acids. Proteins are continuously at risk of aggregation, which