386 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions in Denmark
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support innovation for resilience and learning, including the design of learning factories, competence development programs, and systemic change initiatives. Key Responsibilities As a successful candidate
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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The Department of Biology at Aarhus University aims to advance and strengthen the Departments research and education program in ecophysiology and ecology. Therefore, we invite applications for 1-2
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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five-year research plan outlining the development of strategic communication research within this position. The plan should focus on ongoing work and reflect current transformations in the field, such as
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. The successful candidate will join a growing research program focused on non-ionising imaging technologies for quantitative assessment of musculoskeletal function. BEC is committed to developing engineered
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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cancer, inflammation, neuroscience, and personalized medicine. The department provides high-quality research-based teaching and contributes substantially to the medical degree programme. With around 500
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can be maintained. You can read more about family and work-life balance in Denmark. Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs
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Programming in Python, R, SQL, Java, or similar languages Spatial and spatiotemporal methods when relevant, including geo-visualization, spatial optimization, and spatially explicit modelling for sustainability