35 programming-language-"U.S"-"U"-"U.S" positions at University of Copenhagen in Denmark
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The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing. Project Description The position
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of Chemistry, kjj@chem.ku.dk, Direct Phone: +45 21516721. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme Depending of your level of
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information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to professor Knud J. Jensen. The position is open from
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Computing Research Project builds upon the FemTech research program , and has the long-term vision to reduce the risk of isolation, stigma, and burnout for neurodivergent computer science students with
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
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. Experience within microbiology is an advantage but not required. Fluency in written and spoken English are requirements. The postdoc’s duties will include research within the project as well as teaching. The
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experience in at least one high level programming language (e.g. Python) Strong problem-solving mindset and ability to collaborate in interdisciplinary environments Good organizational and communication skills
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mechanistic crop models, such as DAISY or similar soil-plant-atmosphere models Experience in project management and student supervision Good communication skills in English and a collaborative mindset. Who are
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Rossmeisl, Department of Chemistry, Jan.Rossmeisl@chem.ku.dk , Direct Phone: +45 5071 9584 The PhD programme Qualifications needed for the regular programme (5+3) To be eligible for the regular PhD programme
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. Excellent English skills written and spoken. Experience with usage and programming in R. Desirable experience and skills: Basic knowledge of regression analysis Place of employment The place of employment is