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within the context of the EU-funded SmartEM project , which aims to use AI-assisted methods to create industrial surrogate models from heterogeneous data sources. In SmartEM, we you will have the
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28 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Netherlands
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Application Deadline 12 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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information science. Good knowledge of mathematical and theoretical physics methods of describing random processes and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics
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science, mathematics, or a related field. Strong background in quantum physics, mathematics, and quantum information science. Good knowledge of mathematical and theoretical physics methods of describing random processes
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polymers. This is what you will do The aim of the project is to develop synthesis methods for monomers (mainly furandicarboxylic acid) from Algae biomass and to apply these monomers in polyester applications
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. Furthermore, innovative methods are developed to accurately and early determine the effect of treatment. Our department is characterized by conducting translational research with continuous interaction between
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Fixed-term contract: duration project. As a postdoc, your salary will be between €3,598 and €5,669 gross per month (scale 10, CAO UMC). These figures are based on a full-time position. You will work in a 36-hour per week contract and receive an appointment for a duration of two years. Extension...
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Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you
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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs