13 machine-learning-"https:"-"https:"-"https:"-"UCL" PhD positions at Aalborg University in Denmark
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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 Safe Learning Based Control for Autonomous Robots in Dynamic
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At the Department of Communication and Psychology, the Faculty of Social Science and Humanities, Aalborg University, a position as a PhD fellow in Arts, Mental Health and Organizational Learning
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for spinal surgery. The Candidates for this stipend should have a background in software engineering or similar and have substantial experience with machine learning. All cases involve various degrees of image
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. Mathematical skills: Competence in mathematical modeling of dynamic systems and probabilistic frameworks. Experience with machine learning or AI methods for localization or perception (e.g. learning-based SLAM
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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on the development of AI models for analysis of cardiac CT scans, with the aim to explore how machine learning models can quantify cardiovascular disease and predict future events from CT scans. The project will
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Biological Learning Machine, which is headed by Professor Jan Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and spatial patterns of synergy and
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to have a strong interest in data analysis, and medical research, along with relevant academic background and skills within medical image analysis and machine learning that will enable them to contribute
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and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your
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languages such as MATLAB or Python is necessary as well as excellent communication skills in English. Candidates with sufficient proficiency in Danish to teach at the Bachelor programme are preferred