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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); yesterday published
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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed
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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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to provide hands-on support in the lab to research being carried out by MSc students, PhD- and postdoctoral researchers in the QG&QI, QMat and SM research clusters. You will play an important role in the QG&QI
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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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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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FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
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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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, PhD- and postdoctoral researchers in the QG&QI, QMat and SM research clusters. You will play an important role in the QG&QI research cluster, for example building new laser systems, helping new students
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, and not afraid to tackle technically challenging problems or optimize new protocols. You are eager to integrate neurobiology, immunology and technology to build and validate innovative pain NAMs based