21 machine-learning "https:" "https:" "https:" "https:" "https:" positions at NTNU Norwegian University of Science and Technology
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, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning, the project will make use of historical radar
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required to teach part of a course in fundamental fluid mechanics, taking joint responsibility for lectures, exercise sessions, and the examination. Your immediate leader will be James Dawson. Duties
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Teach and supervise students at bachelor’s, master’s, and Ph.D. levels Further develop existing courses or create new courses and learning methods within interaction design, human-computer interaction
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, and environmental changes, such as climate change, biodiversity loss, and pollution, and the effects of new policies. Teach two courses per academic year at Bachelor or Master levels and supervision
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for a further career in higher education and research, in and outside academia. The position will specifically focus on Reinforcement Learning for Resource-Constrained Project Scheduling Problem (RCPSP
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collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics
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calculations Knowledge about machine learning application in condensed matter Knowledge about magnetism, superconductivity, and topological order Personal characteristics We are looking for a candidate who is
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viability data to discover new biomarkers and treatment strategies. You will work in a highly interdisciplinary environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with
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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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synthetic biology, machine learning (ML), and ultrahigh-throughput screening (microfluidics) to discover new enzymes and bioactive molecules with applications in biotechnology, medicine, and sustainability