45 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"RAEGE-Az"-"FEMTO-ST" "Prof" PhD positions in Denmark
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chromatography-mass spectrometry (GC-MS) will be complemented with high throughput DNA- and cDNA-based sequencing techniques. The PhD candidate will be supervised by Prof. Riikka Rinnan and Prof. Anders Priemé
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Programming Beyond the Circuit Model” led by Assoc. Prof. Robin Kaarsgaard . The project aims at introducing new abstractions, models, and programming languages that radically change how we can reason about and
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. The activities within the project will benefit from synergies with other projects in the group as well as with other activities at the department. The main supervisor will be Assoc. Prof. Francesco Da Ros, DTU
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. The successful candidate will be based in Odense, under the primary supervision of Prof. Ricardo J. G. B. Campello , but they will be expected to also work closely with other PhD students, postdocs, and
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will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will participate in
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job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number 101226674 Marie Curie Grant Agreement Number 101226674 Is the Job related to staff position within a
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at the Copenhagen Biocenter in central Copenhagen, Denmark. The project will be conducted in close collaboration with the groups of Prof. Alex Toftgaard Nielsen, Technical University of Denmark, and dr. Morten
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof