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skilled in object-oriented coding (preferably Python) and data analysis; affinity with machine learning and explainable AI techniques, preferably in a geoscience context; good social skills. As a university
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prestigious ERC Consolidator Grant in a great interdisciplinary institute in Amsterdam. Join us! Are you passionate about machine learning, natural language processing and generative AI? We are seeking a
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with new challenges in cybersecurity of the Dutch armed forces. The postdoctoral candidate will work on a project developing and evaluating forecasting models for the analysis of defense relevant
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, data driven, computational, and intelligent systems, all with a strong interactive component. The Digital Interactions Lab (DILAB) is a small but vibrant human-computer interaction research group within
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like the world’s most efficient hydrogen car to shaping policies that promote digital inclusion, our work contributes to a healthier, fairer, and more sustainable future. Whether it’s exploring how
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. The group is world-renown for mass spectrometry-based proteomics and structural biology, and applies these technologies to study amongst others cancer, auto-immune disorders, immunology, infections, and
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hydrogen car to shaping policies that promote digital inclusion, our work contributes to a healthier, fairer, and more sustainable future. Whether it’s exploring how technology influences human behaviour
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machine reasoning can support evidence-based decision-making. The role offers a unique opportunity to contribute to Europe’s technological sovereignty by shaping next-generation EO+xAI capabilities
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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week
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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a