849 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Sweden
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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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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
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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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(https://ki.se/en/mbb/research-division-of-medical-systems-bioengineering ) at the department of Medical Biochemistry and Biophysics. In our group we are interested in shedding light on central molecular
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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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% Department Department of Computing Science Show description The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning for software security. The position is
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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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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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, and demonstrated ability to develop computational pipelines for biological datasets. Experience in statistical modeling and/or machine learning applied to biological systems, with the ability to link
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veterinary nurses, ensure that the flow through the surgery department is efficient and safe for the patients, supervise and teach students as well as residents and junior veterinarians. You aim to get