244 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs in Denmark
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Develop machine learning interface for Daisy to improve support for data-driven process modeling We expect You Hold a master’s degree in computer science, preferably a PhD with postdoc experience
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to new projects. Assist with troubleshooting their machines and support their understanding of core concepts. Guide students in working on their own project. Demonstrate best practices and foster
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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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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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office supplies Make sure the kitchens and coffee machines are clean and tidy Lighter administrative tasks We expect: Initiative and curiosity You are responsible and enjoy managing the practical tasks
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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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characteristics: be self-motivated, having a can-do attitude, willing to learn be able to program in C plusplus; ; and/or Python be at least familiar with ROS2 and Linux have decent understanding of robotics
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Department of Electrical and Computer Engineering (ECE), Aarhus University (AU) invites applications for a position as Tenure Track Assistant Professor/Associate Professor in electronics
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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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have: A relevant PhD degree (e.g., NLP, AI, ML, Security, Cryptography, or a related field) A relevant MSc degree (e.g., Computer Science, Software Engineering, Machine Learning, Artificial Intelligence