64 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at UNIVERSITY OF HELSINKI
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remain open until a suitable candidate is found. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407944/doctoral-researcher… Requirements Additional Information Work Location(s
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of Helsinki offers comprehensive services to its employees, including occupational health care and opportunities for professional development. Please read more at https://www.helsinki.fi/en/about-us/careers
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research in a supportive and stimulating environment Access to state-of-the-art resources and excellent support for further learning and professional development The University of Helsinki offers
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pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion
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-in-a-nutshell . The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational
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volumes of audiovisual data is essential. The appointee must have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large
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, the ability to produce learning materials, other merits achieved in teaching as well as a teaching demonstration if necessary. Scientific publications, other scientific activities and research funding obtained
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website at https://www.helsinki.fi/en/faculty-medicine/about-us/work-us How to apply Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button
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the Neuroscience Center in the University of Helsinki (see: https://www2.helsinki.fi/en/researchgroups/synaptic-plasticity-and-development ).The research interests are focused on functional maturation of neuronal
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on the ENERPOL home page https://cordis.europa.eu/project/id/101226229 Project description The successful applicants will join a multidisciplinary EU-funded Marie Skłodowska-Curie International PhD training