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interaction with researchers from different research fields and access to various scientific and technical expertise. All PhD students at the Faculty of Medicine attend the doctoral education program. More
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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with researchers from different research fields and access to various scientific and technical expertise. All PhD students at the Faculty of Medicine attend the doctoral education program. More
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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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these questions through an interdisciplinary lens, with a strong focus on mathematical and computational methods closely connected to evolutionary theory and biological data. Read more about our research themes and
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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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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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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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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