891 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Sweden
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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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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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student in machine learning for software security. The position is for four years of full-time doctoral studies at the Department of Computing Science, where you will be able to work in a dynamic
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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://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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it effect engagement and learning. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Type of employment: Temporary position Contract type: Full time First day of employment: 2026-08-17
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Type of employment: Temporary position Contract type: Full time First day of employment: 2026-08-17
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: 2467-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=10106&rmlang=UK
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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the