60 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Lund in Sweden
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(FMAN20) for MSc in Machine Learning, Systems and Control, during the period of 2026-08-31 – 2026-10-20. Computer Graphics (EDAF80) for MSc in Virtual Reality and Augmented Reality, during the period of
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measurement methods (e.g. AFM) or correlative experiments combining mechanical measurements with fluorescence microscopy. It is considered a merit if you have experience in AI-based or machine-learning-based
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Security, Wireless, and Fixed Networks. The security group has around 20 members. The main research directions are Cryptography, Privacy and System Security for Connected Systems. We are now looking for a
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for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and written Swedish. Assessment of the applicants will primarily be based on scientific merits and potential as researchers. Special
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factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined roughness, AM roughness is characterized by randomness, porosity, and powder adhesion, producing
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new diagnostic and prognostication markers and targets for novel therapy. Learn more here: Division of Clinical Genetics The research primarily focuses on understanding the biology of infant leukemia
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of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
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capture. Ability to work independently, as well as in a group. Valid Swedish driver´s license as we use car to drive to field localities Other merits Utbildning: University education in i biology (Master’s
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broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has around 20 members. The main research directions are Cryptography, Privacy and System
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learn to see each other as learning resources and are trained in collaborative learning. The SI-leader´s task is to lead the students and structure the SI-sessions so that these run efficiently. The SI