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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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. Qualifications Applicants with experience in mixed methods, particularly digital methods, data scraping/analysis and qualitative research (Netnography and interviews) will be preferred. Proficiency in English and
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, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc
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processes or laws Elicitation of requirements from natural language Applications of declarative specifications (e.g. temporal, modal logics, declarative process models) in the analysis of systems Model-driven
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all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications List of beamtimes you have been involved
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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
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qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering. Hardware design in a hardware description language such as Chisel, VDHL, or Verilog
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://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to the group leader, Jiwoong Lee. The position is open from 01.09.2025 or as soon as possible thereafter and is for
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environment where English is the preferred language in the laboratory, at meetings and at seminars. The Department employs some 450 people and covers a range of research areas within Biomedicine. We contribute
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting