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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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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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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
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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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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to agreement. As a PhD student you will be enrolled in a highly qualified education within a thriving research environment. For more information about our PhD program, please visit our information page. You will
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space Engineering at Luleå
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space Engineering at Luleå
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build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems