868 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Sweden
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of the Federal Armed Forces Hamburg (HSU/UniBw H), Faculty of Electrical Engineering, Professorship of Electrical Energy Systems (Prof. Dr.-Ing. habil. Schulz), a position is available as soon as possible for a
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languages, with a clear connection to subject-specific education. For the corresponding advertisement with admission at the University of Gothenburg, please go to: https://web103.reachmee.com/ext/I005/1035
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broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes
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sector, with a documented history of collaboration with forest companies. Knowledge of Deep Learning frameworks applied to forestry. Experience with synthetic data generation. About us The Department of
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found here https://www.maxiv.lu.se/beamlines- accelerators/support-labs/microscopy-labs/ . This is a temporary position from March until October 2026. Qualifications for a successful candidate are: Hold
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full
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dimensions andanalyse particle trajectories using a combination of established tracking algorithms and machine-learning-based approaches. You will further correlate the diffusive behaviour of viruses
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: https://www.slu.se/en/about-slu/organisation/departments/department-of-wildlife-fish-and-environmental-studies/ For more information about the Aquatic Ecology research group visit: www.slu.se/en/research
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electrochemistry Demonstrated ability to work independently Excellent command of the English language, good communication, and team working skills If not already proficient, be willing and able to learn X-ray
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modeling, machine learning, and AI techniques applied to biomedical data is a plus. Clinical Proteomics: Experience with clinical trial data, real-world evidence (RWE), and biomarker-driven trial designs is