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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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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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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
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for professional development through the Lecturer Training Programme and mentoring. An open and collaborative research culture within SDU’s Faculty of Engineering (TEK), promoting interdisciplinary
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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 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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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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relating to 19th-century science. Experience with archival work and/or knowledge of Scandinavian languages is an advantage, though not a requirement. Please include a research plan (max. 1000 words
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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