76 parallel-processing-bioinformatics positions at Delft University of Technology (TU Delft) in Netherlands
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as: a curated representation of integrated project knowledge. a continuous, iterative process shaped by shared narratives and stakeholder participation. Through dialogue, iteration, and rigor, design
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information If you would like more information about this vacancy or the selection procedure, please contact Marc Rovira Navarro, via M.RoviraNavarro@tudelft.nl . Application procedure Are you interested in
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information If you would like more information about this vacancy or the selection procedure, please contact Dr. Nick Eleftheroglou, Assistant Professor and Head of the iSP Group, via N.Eleftheroglou@tudelft.nl
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technology with world-changing potential. We are developing scalable prototypes of a quantum computer and a secure quantum internet. We believe quantum technology will be a game changer in many social and
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PhD candidates, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through
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of the cavitation process in composite propellers under operational conditions. Job requirements We are seeking an outstanding and enthusiastic researcher with a focus on developing new methodologies
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available, to support your accompanying partner with their job search in the Netherlands. Additional information For more information about this vacancy or the application procedure, please contact Kenneth
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of high importance in relation to operational safety, performance, and longevity. The hull must be sufficiently robust to withstand harsh conditions, challenging operation situations, and collisions. A
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, are central to this transition, enabling recyclable, lightweight structures. Research now targets energy-efficient, automated processes and machinery to deliver high-quality components for the next generation
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manipulation, tactile sensing or haptic systems. Proficiency in programming (Python, C++, MATLAB, or similar). Experience with robotic platforms and hardware. Knowledge of machine learning and signal processing