111 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Southern Denmark
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joint project with the pathology at OUH. Here, the student shall develop statistical and machine learning approaches to identify potential cancer on whole slide scans. The student contributes
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particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. What you would be doing You will contribute to data access workflows, database and
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sustainable machine learning approaches and addressing renewable energy related projects. Likewise, deploying a novel paradigm of KGML (knowledge guided machine learning) can propel further research. PhD
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of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics
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environment. You can communicate in English and Danish. Experience with the manufacturing of parts by CNC milling is a plus. Experience with CAD design software such as NX is a plus; willingness to learn
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initiatives Commitment and ability to teach and supervise students at bachelor’s and master’s levels, including course development in digital design, computer architecture, and AI hardware Strong communication
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are looking for a student to support the operations of the Cyber-Physical Lab, a facility where physical experiments are directly interfaced with and controlled by computer systems. The position requires a
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characteristics: be self-motivated, having a can-do attitude, willing to learn be able to program in C++ and/or Python be at least familiar with ROS2 and Linux have decent understanding of robotics
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, or computational workflows related to experimental research • Programming or scripting (e.g. Python, MATLAB, R, or similar) • AI- or machine learning–based approaches for data analysis, pattern recognition
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. You will also spend 3 months at Georgia Tech/Emory University (USA), working on machine learning and data benchmarking. Work description The selected PhD student will be responsible for the full