749 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Denmark
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to research‑based teaching, employing innovative methods to enhance student learning. It oversees a graduate program in Population Studies. The center fosters an inspiring academic environment and strives
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philosophy at both BA and MA level, alongside active engagement in study programme related activities and curriculum design. Qualifications The successful applicant must: Hold a PhD or similar qualifications
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ecological data collection. The positions focus on improving detection and classification performance of deep learning models applied to millions of images collected in European monitoring programs. Key
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Experience with scientific programming (e.g. in python) Experience with modelling of disordered materials is seen as an advantage Experience with automated computational workflows is seen as an advantage
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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to develop an independent and competitive research program. Research areas of particular interest include, but are not limited to: Surface-sensitive vibrational spectroscopy (e.g. sum-frequency generation
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guidance. Relevant example tasks here are: preparation of hardware setups based on microcontrollers, Raspberry Pi, etc. for teaching and research projects, programming and software tasks, e.g. creating
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qualifications include: Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field; Strong background in Deep Learning (e.g., Transformers, foundation models); Strong programming
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the Department. Who we are The Department of Ecoscience is engaged in research programs and advisory work covering the major biological sub-disciplines. We conduct innovative, advanced research in the areas
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approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting