752 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "CNRS" positions in Denmark
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and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal
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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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Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal healthcare for you and your family as residents. Five weeks of paid
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and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal
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also advanced scanners at our disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic
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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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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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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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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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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