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center located in Norrköping, Sweden, with a PhD program in Analytical Sociology and an international Masters’ program in Computational Social Science. The research strengths of the IAS include the study
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educational technology on learning in public educational spaces. You are expected to produce research outputs relevant to the fields of visual learning and communication, and computer science. These outputs
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artificial intelligence), exploring future skills, and optimizing equipment management. You will work in close collaboration with major industry partners to collect and analyze real-world empirical data using
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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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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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vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering
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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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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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suitable for examination. The Ph.D. program consists of 4-year full-time studies with the position contracted based on annual evaluations. Coursework is included in the Ph.D. program. Qualifications: To be
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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