204 algorithm-phd-"Prof" "NTNU Norwegian University of Science and Technology" PhD positions in Netherlands
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optimisation algorithms to optimize the designs. We now hire three PhD candidates who be based at LIACS (Leiden University) and spend several months with industry and academic partners abroad. The GenAIDE
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Faculty of Science The Faculty of Science (FNWI), part of Radboud University, engages in groundbreaking research and excellent education. In doing so, we push the boundaries of scientific knowledge and pass that knowledge on to the next generation. We seek solutions to major societal challenges,...
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Do you want to help us make AI more efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis
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Organisation Job description PhD position: ML based implementation of constitutive behavior of stainless steel Metal forming is a widely used method to form steel products efficiently in mass
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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lead to better and fairer outcomes—challenges such as cognitive overload, uncalibrated (dis)trust in AI, and unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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stakeholders. This multidisciplinary PhD project aims to generate the necessary knowledge and tools to equip local decisionmakers to better deal with conflicting values in parallel transitions and requires
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engineering and biotechnology. A PhD position is available in the Advanced Production Engineering (APE) research group that deals with the development, optimization and implementation of advanced production
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unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases