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We are seeking a motivated PhD student in computational materials physics, particularly AI-driven studies of nanomagnetism. The PhD student will work within an active research group in materials theory
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and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering. The prospect PhD student will join a research team in KTH led by Professor Aristides Gionis
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degree. This eligibility requirement must be met no later than the time the employment decision is made. PhD in Railway Engineering, Civil Engineering, Geotechnical Engineering, or a closely related field
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and how they relate to your previous studies and future goals. Maximally 2 pages PhD thesis or equivalent publication record incl. pre-prints Your complete application must be received at KTH no later
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science PhD students will work on robot learning
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. This eligibility requirement must be met no later than the time the employment decision is made. PhD in Nuclear Engineering, Nuclear Power Safety, Engineering Mechanics or similar, with extensive experience from
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, which involves the development of a comprehensive research activity at a high international. The assistant professor is expected to teach and supervise bachelors, masters and PhD students. The assistant
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to biological questions related to protein mapping, classification, and alignment with the Human Protein Atlas data resources. The PhD projects are funded by the Alpha Cell Program, with the long-term ambition
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studies within the Marie Skłodowska-Curie Actions (MSCA ) funded network program for PhD students, IDEAL4GREEN , that addresses the urgent challenges of climate change and the global shift towards
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science The PhD students will be a part of an EU project