101 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Finland
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- UNIVERSITY OF HELSINKI
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and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information-arriving-staff . A diverse and equitable study and work culture is important to us
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opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Application should include the following documents as a single pdf file: a cover letter, a CV, a publication list the
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occupational health care and health insurance, unemployment and pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us
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development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion) in evolutionary biology, ecology, genetics, or related fields. Expertise in molecular genetics
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see https://www.helsinki.fi/en/about-us/careers . A diverse and equitable study and work culture is essential to us. That is why we do our best to promote an inclusive university community. We encourage
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- and stem cell biology, and great synergy with renowned research groups. More information on the IMMENS and open positions available at the Åbo Akademi University in Turku can be found here: https
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positions available at the Åbo Akademi University in Turku can be found here: https://www.helsinki.fi/en/researchgroups/immune-endothelial-interfaces How to apply Please submit your application as a single
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provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information
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– Towards a better world and Shaping a Sustainable Future . Read more about working at Aalto:https://www.aalto.fi/en/careers-at-aalto Check out our new virtual campus experience: https://virtualtour.aalto.fi
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large