18 computing-"https:"-"IDAEA-CSIC" "https:" PhD positions at University of Copenhagen
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. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
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Phone: +45 21516721. The PhD programme Depending on your level of education, you can undertake the PhD programme as: A three year full-time study within the framework of the regular PhD programme (5+3
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Duration: 3 years as a PhD student PhD Programme Description: The PhD programme is a three-year full-time research education within the framework of the 5+3 scheme, intended for candidates holding a
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Leggio, Department of Chemistry, [email protected] The PhD programme For this position, you can undertake the PhD programme as a three year full-time study within the framework of the regular PhD programme
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. Principal supervisor is associate professor of research integrity Mads P. Goddiksen, [email protected]. Qualifications needed for the programme To be eligible for the PhD programme, you must have completed a
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is building a talented and diverse international team to create a cutting-edge program in the heart of Copenhagen at the Niels Bohr Institute
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for Evolutionary Hologenomics is funded by the Danish National Research Foundation to develop and implement state of the art ‘omics and associated computational techniques, to address through experimental and
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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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supervisor is Prof. Serafim Bakalis, Department of Food Science, E-mail: [email protected] , Direct Phone: +45 93 56 56 81. Qualifications needed To be eligible for the regular PhD programme, you must have
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develop computational and structure-guided approaches to understand immune recognition and design next-generation vaccines against respiratory pathogens. Our work integrates computational protein design