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screened, in relation to international research and innovation collaboration, as part of the employment process at the University of Copenhagen. The application, in English, must be submitted electronically
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). Knowledge about databases and data standardisation/ontologies (SQL, NoSQL, Ontologies, etc.). Other programming languages would be an advantage. Salary and terms of employment The appointment will be based
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science, computational biology or other relevant fields. Applicants must have excellent skills in English (oral and written) and be independent, creative, and dependable. Applicants should have several publications in
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considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab
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: PhD in computer science, machine learning, operations research, transportation engineering or a related field. Programming skills in C/C++ and Python, along with experience working with simulation
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academia or industry, or other activities. An inquisitivce mind-set with a strong interest in exploring new ways of experimentation Good language skills in English (the professional language of communication
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industrial partners. The working language is English, and we pride ourselves on a diverse, inclusive, and inspiring workplace that fosters personal and professional growth. What we expect We are looking for a
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related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in
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. We offer an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological
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for the research-based public sector consultancy and degree programs covering bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative