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teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at a Master’s level in Computer Science, Mathematics, or a closely related subject
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transport and reduced transport intensity in agro-food and bioenergy supply chains. Focusing on selected case studies, transport related to primary production and distribution of finished products is
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of the doctoral student Cell types in healthy tissues only take on a finite number of states, since they are generated following a strict developmental program. Cancer cells, however, carry genetic alterations
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the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization. Application The application is to be completed online. Please submit your
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this recruitment we invite exploratory dissertation projects, and we are therefore looking for those who are driven by creativity, curiosity and critical thinking. We value the qualities that an even distribution
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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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of Computer Science and Engineering (CSE)Chalmers University of Technology University of Gothenburg You will be part of the Computing Science Division The appointed candidates will also join a vibrant community of over
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well-equipped laboratory facilities for research and a good inter-disciplinary academic network in Sweden and abroad. Subject description Machine learning focuses on computational methods by which
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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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