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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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to the Master's Programme at the Umeå School of Architecture, including guidance and responding to questions related to the programme and the application process. Other tasks and duties may be assigned
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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund
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and Engineering, (EST) Position description We are looking for two motivated and ambitious students who are currently admitted to the Master's programme in Global Strategy and Management at Mälardalen
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their daily tasks, take part in various projects connected to those systems. You will also be updating P&IDs to match the current system and handle documentation. Our plan is to transfer all P&ID to E-plan so
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legitimacy. WASP-HS The PhD position is part of the Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). The vision of WASP-HS is to foster novel interdisciplinary knowledge
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to contribute to foundational advances in physics-informed machine learning. The project is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP), and the successful candidate will join
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of our educational programs are also parts of the work. Research and applications for research funding relevant to occupational therapy will also be included. Other tasks may be relevant depending on your
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deadline: August 18, 2025 Requirements To qualify for admission to the PhD programme, you must have: A Master’s degree (or equivalent), Completed at least 240 ECTS credits, including at least 60 ECTS credits
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for Bachelor and Master degree programs, as well as offering Ph.D. education in applied economics, business administration, and economics. The Department is located at two campuses: Uppsala and Umeå. Among many