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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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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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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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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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, and power cables. All research is conducted in collaboration with other universities, research institutes, and industry. The group currently consists of 1 Professor, 1 Senior Scientist, 5 Postdocs, and
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in solid theoretical foundations and verified through extensive experimental studies, both in labs and in real-world environments. We are a team of 60 members, including 20 senior researchers, working
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For questions, please contact: Prof. Nikolce Murgovski, Systems and Control nikolce.murgovski@chalmers.se, +46-31-772-4800 Senior Researcher, Mats Jonasson, Vehicle Engineering and Autonomous Systems
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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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 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