60 programming-"DIFFER"-"Washington-University-in-St"-"U" Postdoctoral positions in Denmark
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, international and industrial collaborators a research climate encouraging lively, open and critical discussion within and across different fields of research a work environment with close working relationships
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have studied a MSc program in microbiology, biotechnology, plant biology, and food science. Additionally, we expect that you will be willing to have an external stay at Wageningen University & Research
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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
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. Programming or scripting skills (e.g., Python, R, or MATLAB) for exposure modeling or database automation. Other Competencies Ability to work in interdisciplinary, international teams. Strong communication and
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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, animals, humans, and the environment. We want to make a difference by contributing to both fundamental knowledge generation and the attainment of sustainable production systems via innovative research
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grades according to the European ECTS system obtained in BA and MSc programs. Complete list of publications, indicating which publications are most relevant for the position. Brief research plan linking
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related field. Strong software development and programming skills, with experience in designing and implementing complex software systems. Research experience in artificial intelligence and/or machine
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). The successful candidate will contribute to the Multilingual Privacy research project. This project aims to explore privacy in the realms of multilingual programs, with a particular focus on mitigating information