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at undergraduate and master’s levels, primarily in data science, machine learning, and AI programming in Python, including lecturing, supervision of student projects, course development and examination. Scholarly
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of Medical Sciences can be found at https://www.uu.se/en/department/medical-sciences . The Affinity Proteomics unit at SciLifeLab, hosted at Uppsala University, is seeking a highly motivated biofinformatician
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. Proficiency in Python and modern deep learning frameworks (e.g., PyTorch). Demonstrated interest in designing and implementing AI systems for real-world applications. You are expected to be somewhat accustomed
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knowledge of English, both written and spoken Requirements for the position are: experience of programming for data analysis, for example in Python, MATLAB, R, or similar collaborative and able to work in a
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of experience in training, evaluating, and deploying machine learning models, including deep neural networks and relevant frameworks - Documented several years of experience in systems development with Python and
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qualifications (advantages) For the doctoral programme in question, the following are considered as other qualifications: Good programming skills in Python or C++ Experience in machine learning frameworks
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version of which can be found at https://server.atkinson-lab.com/webflags . We offer Lund University is a government agency, which means you receive special benefits, generous annual leave, and an
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, neuroscience, electrical engineering, or a related field, hands-on experience with neural recording and/or stimulation techniques, signal processing, and data analysis (e.g., MATLAB or Python), experience
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, Applied Physics, Nanotechnology, or equivalent. Strong programming skills in high-level languages, specifically Python. Good verbal and written communication skills in English. A collaborative attitude and
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experience (preferably in Python or MATLAB) We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension