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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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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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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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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish
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radioactivity. Important fields of application are radiotherapy to treat cancer, radiation diagnostics using X-rays, computed tomography, nuclear medicine and magnetic resonance imaging (MRI). We mainly work
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interdisciplinary backgrounds and expertise to foster cutting-edge research with high clinical relevance. Project Description Imaging methods such as magnetic resonance imaging (MRI), computed tomography (CT), and
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health