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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier
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. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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international networking, and experience of academic and societal interaction. The position is full time and funded up to 2 years 6 months. The salary is defined in accordance with the University salary system
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carry out research related to the project: data collection, analysis, reporting, and dissemination of results to different stakeholders. You build and develop research and innovation networks in
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directly with 21 partner organizations, giving you unique insights into diverse business practices while also expanding your professional network far beyond the project itself. The position provides
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you unique insights into diverse business practices while also expanding your professional network far beyond the project itself. The position provides an excellent opportunity to combine the work with
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tasks. Requirements for the position, qualifications, and language skills are defined in the university's regulations. Good written and spoken English is required. A six-month probationary period applies
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architectures like the transformer neural network, these AI systems predict future health events and adapt to various healthcare tasks, aiming at more accurate prediction of progression of diseases like cancer
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national databases in Europe. Utilizing architectures like the transformer neural network, these AI systems predict future health events and adapt to various healthcare tasks, aiming at more accurate