193 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Tampere University" PhD positions in Denmark
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at Aalborg University and Aalborg University Hospital. At CLINDA, the research focus is on the development and implementation of clinical AI, bioinformatics and biostatistics, and methodological development
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. Responsibilities and qualifications Your overall focus will be to strengthen the department’s vision and expertise in artificial intelligence for autonomous systems, contributing to the development of intelligent
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, enthusiasm for technology and the drive to adopt new skills and extended responsibilities. We offer an open, international team with flexible work organization and support of individual development. The group
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development, biomass availability, and sector coupling is experiencing significant growth. The group combines techno-economic modelling, system optimization, and infrastructure planning to address real-world
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about DTU Electro at https://electro.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the
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that candidate awarded the PhD fellowship will be able to commence the PhD degree programme on 1 September 2026. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements
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, please visit: http://mgmt.au.dk/ . Place of work Department of Management, Universitetsbyen 61, DK-8000 Aarhus C, Denmark. Formal Requirements You can read more about how to apply in the application guide
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including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Applications
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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, the projects combine classical microbiology, microbial physiology, experimental evolution, and omics-based approaches to link microbial interactions and system performance across spatial and functional scales