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such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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, and restricted analytic control within platform-based datasets, ensuring transparent and robust interpretation of findings. The project aligns strongly with current healthcare priorities through its
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looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this? Strong analytical and interdisciplinary mindset – You enjoy bridging medical statistics and
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(MPC) and Reinforcement Learning (RL) have proven effective in isolated studies, their widespread deployment is hindered by the lack of interoperability, the high cost of model creation, and data
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Amsterdam Rotterdam); teach seminars and/or practical for bachelor and master students; supervise bachelor and master student projects; present data at local, national and international scientific meetings
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care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also
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costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just
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group 14/15-element bond formation. In addition to the wide range of transferable skills developed during a PhD, the appointed researcher will learn and use: (i) Schlenk and glove box techniques; (ii
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The doctoral student will be employed at Mid Sweden University as part of the Swedish research school for excellence in Arctic and Antarctic Learning (SEAL) , which offers an internationally competitive