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into consideration. The following education, experience, and expertise are required: A PhD in biomedical engineering, (bio-)physics, applied physics, materials science, (organic) chemistry, or equivalent Electrical
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for multiuse purposes, addressing issues on climate change adaptation and high-versus low intensity forestry. We use empirical and process based modelling, with input data from the National Forest Inventory and
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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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the strategic development of medical humanities in the health profession programmes at the Faculty of Medicine. These responsibilities and tasks require a physical presence to a great extent. Other tasks may also
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, ensuring compliance with applicable regulations and standards Coordinate the machine safety working group at MAX IV Lead the CE marking process for scientific equipment developed at the facility Conduct and
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complete the doctoral programme. In the assessment process, particular emphasis will be placed on the candidate’s motivation, potential to carry out doctoral studies, and the breadth and composition
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-ray energy range, 2.4 - 40 keV. The beamline is in user operation since 2019 and serves users from a magnitude of fields within material science, catalysis, chemistry, physics, biology, geology and
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Science, Natural Science and Geography. The teaching includes responsibility for a bachelor's programme, a master's programme, single subject courses, and courses in the Primary School Teacher Programme
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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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agreed upon. Department of Computing Science The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment