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10 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Geological engineering Engineering » Thermal engineering Geosciences » Geology
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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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4 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Mechanical engineering Engineering » Microengineering Researcher Profile First
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, swine, poultry and fish and sensor technology and big data analyses. We perform research in quantitative genetics, genomics, animal breeding programs and genetic diversity, across the major species. Most
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technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex
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Microsystems Engineering (PME) and work in close collaboration with the Department of Bionanosciences (BN) at TU Delft. The candidate will also collaborate with scientists and engineers at DENSsolutions
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technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex
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. Ferroelectric Field-Effect Transistors (FeFETs) exemplify the latter, regarded as a pivotal technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non
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expertise on animal breeding, biological understanding of traits of cattle, swine, poultry and fish and sensor technology and big data analyses. We perform research in quantitative genetics, genomics, animal
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, swine, poultry and fish and sensor technology and big data analyses. We perform research in quantitative genetics, genomics, animal breeding programs and genetic diversity, across the major species. Most