176 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Finland
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, digital teaching skills, and giving feedback, possible participation in continuous learning provision, and international educational collaboration Production and use of learning materials, including open
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the University of Helsinki and living in Finland, please 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
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teach German language and culture to students who have no previous knowledge of the subject. The position is part of the national SARAVE project of Finnish universities and located at the University
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-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
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University of Helsinki as an employer and Faculty of Biological and Environmental Sciences Departments? Learn more: https://www.helsinki.fi/en/about-us/careers https://www.helsinki.fi/en/faculty-biological-and
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cooperation in a multidisciplinary environment Pedagogical studies, merits and experience Merits in supervising Bachelor’s, Master’s and doctoral students Proficiency in Finnish or strong motivation to learn
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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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ORCID-profile (https://orcid.org ) works: your publications are listed and public (Set visibility: Everyone). You cannot apply to this job without an ORCID profile. The application documents that should
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. The initial salary is €4064, and the contract includes occupational health care. Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively
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position within a Research Infrastructure? No Offer Description Research Assistant wanted! Join research on forest and peatland biodiversity and restoration. Work with remote sensing data, machine learning