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Description: We are looking for an enthusiastic and dedicated PhD candidate to join the interdisciplinary research center PLATE – Centre for Resilient Meals. PLATE is funded by FORMAS' National Food Program and
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of Arts and Social Sciences is accepting applications for a doctoral studentship leading to a PhD in civil law with a specialisation in family law at Karlstad Business School. We also welcome applications
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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The Data Science and AI division of The Department of Computer Science and Engineering is host for a well-funded tenure-track Assistant Professor position in Data Driven Cell and Molecular Biology
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department each year. You can find more information about us on the Department of Information Technology website . The PhD position is hosted by the Division of Computing Science and specifically within
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program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research was created. Using
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of research and development within the proposed project . Teaching duties up to 20% is included and this includes supervision of advanced-level students. Requirements PhD degree in Computational Science
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) Potential for international collaborations and secondments Opportunities for PhD, pedagogical and language courses both nationally and internationally (e.g. Nordic Five Tech and ALERT Geomaterials
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, visualization, and development of new computational methods for processing and analysis of large-scale omics data. We welcome applications from candidates with pure computational background and those combining
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, or similar. Familiarity with linear algebra libraries and high-performance computing is a merit, but not a requirement. About the position The position provides you with the opportunity to pursue PhD studies