36 computer-programmer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "J. F" positions at University of Copenhagen
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project “Intelligent Robotic Endoscopes for Improved Healthcare Services”, coordinated by the Department of Computer Science at the University of Copenhagen. Funded through the Horizon Europe programme
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. Principal supervisor is associate professor Lasse Gliemann, E-mail: gliemann@nexs.ku.dk . The PhD programme Qualifications needed for the regular programme To be eligible for the regular PhD programme, you
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optoelectronics and cryogenic device platforms in the context of artificial neural networks and neuromorphics. Information on the department can be found at: https://qdev.nbi.ku.dk/ Our research Our group conducts
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen
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here: https://nexs.ku.dk/english/research/nutrition-health/lifecourse-nutrition-and-health/ Your job As postdoc you would play a key role in the PREPARE-CHILD study (https://nexs.ku.dk/forskning
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Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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: The ideal candidate will have a strong research program in pharmacology and drug discovery focused on cardiovascular, metabolic, or endocrine disorders. Desired qualifications include, among others, expertise
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Within the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Action (MSCA), University of Copenhagen is offering one PhD position for a Doctoral
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are expected to be currently enrolled in an (higher) educational program Application If you are interested in the position, please submit a concise electronic application including your CV and transcript via
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for global health challenges. The group’s research spans disease modelling, genomic analysis, causal inference with machine learning, and deep learning for various health-related domains. PhD Programme