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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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) Medicine. You have knowledge in the fields related to anatomy and clinical procedures. You are acquainted with computer programmes related to making virtual reality models. You enjoy finetuning the details
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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for managing and versioning many models in various different projects. Your qualities You have completed a Master's degree in 3D modelling, game design or human-computer interactions, and you have knowledge
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integrates OLA production of liposomes, trap arrays, local light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we
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collaboration with programme managers, sales colleagues, the Corporate & Alumni Relations department (CAR) and the RSM Dean of Engagement & Partnerships to ensure the delivery of excellent high-quality programmes
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collaboration with programme managers, sales colleagues, the Corporate & Alumni Relations department (CAR) and the RSM Dean of Engagement & Partnerships to ensure the delivery of excellent high-quality programmes
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methods or desire to work on Applied Machine Learning Problems > Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation
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Internet Exchange (AMS-IX), and the Faculty of Science of the University of Amsterdam. About Research group The CWI Machine Learning research group focuses on how computer programs can learn from and
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your own research group in medicinal chemistry and make a real impact on human health? As an Assistant Professor, you’ll supervise and mentor PhD candidates and teach in the Bachelor’s and Master’s