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in the aluminium value chain (Hydro, Benteler Automotive, Raufoss Technology, Speira, Raufoss Aluminium, Renault, etc). This PhD position focuses on aluminium extrusion of profiles based on high
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of ORCRIST: Optimized Ray-tracing for Cloud-Radiation Interaction Simulations in 3D using GPUs and Machine Learning, funded by the NWO Open Technology Programme. Sunlight and heat radiation move
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, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning. Ability to develop, understand, and critically evaluate
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/or machine learning background to join the Parallel Computing Systems (PCS) group at the University of Amsterdam. We look for vulnerabilities of AI systems across the whole AI system: from adversarial
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10 Oct 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics » Optics Physics » Quantum mechanics Researcher Profile First Stage Researcher (R1
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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welcomed. The project sits at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development. Tasks of the PhD Student - Develop and
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engineering Computer science » Cybernetics Computer science » Informatics Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 16 Oct
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Learning Your role and goals Trustworthy & Adversarial Computing Lab (https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in trustworthy
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an international research environment spanning communication theory, networking, information theory, sensing, machine learning, and robotics. Qualification requirements PhD stipends are allocated to individuals who