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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of machine learning and earth observation within the general study
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The Protein Research Group at the University of Southern Denmark (SDU) in Odense is seeking a skilled doctoral candidate (DC, PhD student) to join our team. This role is pivotal in supporting
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
, Topology and Algebra Learning Experience Design Our department offers an inclusive and international working environment with state-of-the-art facilities and strong traditions for collaboration across
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to work independently and collaboratively within interdisciplinary teams. Background in cybersecurity, machine learning, AI, or large language models (LLM) is advantageous but not a requirement
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. Experience with machine learning techniques for neural data analysis. Track record of publications in high-impact journals and successful grant applications. Work Environment: This position is part of a
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to work independently and collaboratively within interdisciplinary teams. Background in cybersecurity, machine learning, AI, or large language models (LLM) is advantageous but not a requirement
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including postdocs, PhD, MSc and undergraduatestudents. Our research focuses on thegene regulatory networks that control the development and plasticity of fat cells. Furthermore, we are investigating
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crystal handling, SPR machines, and two libraries of fragments (small molecules <300 Da) tailored for SPR and X-ray crystallography. This setup enables a full workflow for fragment-based drug discovery
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fibres and their properties and advanced machine learning techniques with your own expertise on communication systems. You are expected to take a lead role in teaching at the BEng, BSc, MSc and PhD levels
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publication record relative to their career stage and a clear interest in interdisciplinary collaboration. Ideally, you also bring experience with machine-learning or hybrid modelling approaches, as