143 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "KU LEUVEN" positions at Aarhus University
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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accompanying families, including assistance with relocation and career counselling to expat partners. Please find more information about the International Staff Office and the range of services here . Aarhus
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ability to perform research and teaching management tasks. Further information on the appointment procedure can be found in the Ministerial Order on the Appointment of Academic Staff at Universities
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to Postdocs, Research Assistants, Research & Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About
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omics data. In your daily work, you have a close interaction with competent colleagues. Your main tasks will consist of: Maintain and differentiate human stem cells (essential) Generate and maintain brain
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit
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; mepage.faculty.ucdavis.edu ). Simonsen will be the main advisor to the PhD student. Her research studies policies that directly or indirectly affect children’s outcomes and she is an expert on the Danish administrative data
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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess