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the Job related to staff position within a Research Infrastructure? No Offer Description Do you have a passion for developing the teaching and learning of green hydrogen skills? In that case, please
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the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
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are recommended, teachers may question how these accommodations align with their learning objectives and whether they are fair to other students. This study engages neurodivergent students in participatory research
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in Smart Grids, particularly in educating the future workforce as well as providing lifelong learning services to the current employees (re-skilling and up-skilling). This is stated in the European
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approaches. What we ask of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow
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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
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) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; multiple courses on topics such as leadership for academic staff; multiple courses
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benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; multiple courses on topics
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else do we offer you Development opportunities: We actively support your academic growth, including mentorship for writing your own grant application to acquire further funding on related topics. Impact
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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either