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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system design? We
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related discipline. A solid background in de novo protein design, protein structure prediction (Rosetta, AlphaFold, …), protein expression, structure elucidation, machine learning, C/C++ and/or Python with
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the FlexLab AI Innovation Lab, a collaboration between Radboud University, Alliander, Stedin, the Netherlands Organisation for Applied Scientific Research (TNO), Eindhoven University of Technology (TU/e), HAN
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team at AMOLF, working on fundamental questions on physical self-learning systems as part of the NWO ENW‑M1 project “How do physical learning systems learn?”. The research position is intended to start
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experience in designing, implementing, and evaluating large-scale data-intensive systems or cloud platforms, and enjoy turning ideas into working solutions. You are motivated to teach core computer science
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chip quality and reliability while optimizing overall test costs. The platform enables faster and more accurate diagnosis and yield learning, reduces in-field failures in various critical applications
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Administration is searching for an Assistant Professor in Political Science specialized in international peace and security. The envisaged candidate is to teach courses in peace and conflict studies and
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uncover mechanisms that support innovation in precision nutrition and personalized prevention. Your role combines research and teaching: Research (80%) Develop an independent, externally fundable research
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this specific structured data. How can we perform inference tasks to learn hidden patterns, like community structure or hidden hierarchies? How can we incorporate domain knowledge to design interpretable models
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(HIMS), in close collaboration with industrial partner BOR-LYTE and Smart Industry testbeds. This position offers a unique opportunity to combine inorganic chemistry, spectroscopy, machine learning, and