72 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at University of Lund
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of quantum mechanics and statistical mechanics. The Computational Biochemistry group consists currently of eight coworkers and combines quantum chemistry, statistical mechanics and machine learning with
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The research group for associative learning conducts research in neurophysiology and
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protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you
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the design of antibody modalities Documented experience from cancer-related research Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies
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and supervise PhD students. The department has developed several courses within data science, e.g., Bayesian methods, Advanced Machine Learning, Deep Learning and AI methods. You are expected to teach
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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Learning Familiarity with Computer Graphics research We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational
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supervise PhD students. The rest of your time (40%) is devoted to teaching. The department has developed several courses within data science, e.g., Bayesian methods, Advanced Machine Learning, Deep Learning
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equipment within the laboratory. Effectively supporting the research community in building and integrating their equipment in the facility, with a key focus on keeping people and machines safe. Would you like
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Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep mathematical theory