584 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Netherlands
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
support senior teachers and offer guidance. You teach qualitative research methods and general courses in research methods in the programs in which the Methodology and Statistics department is involved
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physical). Solid background in programming and experience with machine learning. Knowledge of participatory design and co-creation methodologies. Ability to learn independently and passion for research
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, particularly integer programming, e.g., vehicle routing and packing problems and heuristics; simulation; data-driven modelling; decision support systems; AI (reinforcement learning, machine learning). Motivation
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explore innovative uses of Artificial Intelligence/Machine Learning, neuromorphic computing, and photonic architectures to enable robust, intelligent, and reconfigurable networks capable of operating in
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Intelligence (AI) and machine learning. We seek a scholar with interests and expertise in advancing the science and applications of Remote Sensing, who is also enthusiastic about incorporating AI-based and data
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the potential of land use management to contribute to sustainable future development pathways. Your work is, focussed on the use of innovative spatial methods and models. Together with colleagues you teach
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Breukelen, Dr. Yvette de Haas, Prof. Dr. Roel Veerkamp (WUR-ABG). See the link to site Chairgroup Animal Breeding and Genomics Group | WUR . Where to apply Website https://www.academictransfer.com/en/jobs
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at scientific conferences and by writing scientific articles and a PhD thesis; attending PhD courses as part of the graduate education program. Where to apply Website https://www.academictransfer.com/en/jobs
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intelligence Motion and actuation Robot-user interfacing Robot ground testing You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship The Trainee will be
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into model-predictive control (MPC) or reinforcement learning (RL) frameworks to compute optimal exoskeleton assistance in real time. Validating the developed methods in human experiments using motion capture