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are seeking a PhD candidate for a 4-year contract to develop and apply computational models and video-based tools to capture hand movement and function with deployment in the home environment as the target
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should ideally have experience in: Essential Deep learning and machine learning Computer vision Python programming PyTorch or TensorFlow Strong mathematical and analytical skills Desirable Video
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Fixed-term contract: 4 years. Wageningen University & Research offers excellent terms of employment . A few highlights from our Collective Labour Agreement include: Partially paid parental leave; working hours that can be discussed and arranged so that they allow for the best possible work-life...
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reuse are currently made across different European contexts. You will map and analyse existing decision-making processes and strategies using qualitative research methods. Based on your findings, you will
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a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of robust artificial intelligence for industrial process optimisation. The research of this PhD position will
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structure shape below-ground microclimates, which in turn regulate soil microbial processes and influence ecosystem carbon cycling across. About the position Climate change is increasing the frequency and
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19th October 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Risk-Based Power System Operation and Utilisation of Transformer Capacity
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join a unique project which aims to develop the next generation of green and low-carbon hydrogen technologies. You will be embeded in the Process & Energy department of the Mechanical Engineering Faculty