16 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs in Estonia
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Department of Computer Systems is internationally highly appreciated scientific and learning centre, which scientific competency is focused on creating of technical systems based on computer systems
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/InstituteInstitute of Computer ScienceCountryEstoniaState/ProvinceTartumaaCityTartuStreetNarva mnt 18 Contact City Tartu 51009 Website http://www.ut.ee/en Street Ülikooli 18 E-Mail jaak.vilo@ut.ee STATUS: EXPIRED X
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authorship. Experience in the field of human genomics, machine learning and generative AI. Experience in analysis of large-scale human omics datasets and electronic health records. Expertise in at least one
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an indefinite employment contract who does not speak Estonian must acquire Estonian language proficiency at the B1 level (CEFR) within three years and at the B2 level within five years
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doctoral students Required Language skills Fluent English. During the first years of occupation, the successful candidate is expected to acquire the Estonian language proficiency at least on level B1
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committees Required Language skills very good Estonian and English language skills an academic staff member with an indefinite employment contract who does not speak Estonian must acquire Estonian language
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. Contact for additional information on the documents required for applying and the recruitment process: TalTech Human Resources Office, email konkurss@taltech.ee . Where to apply Website https
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position of Lecturer in Digital Humanities and Artificial Intelligence. Work assignments The lecturer will teach courses related to digital humanities and artificial intelligence. They are involved in
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Studies. Where to apply Website https://candidate.recrur.com/public/jobad/EN/eb1c271c-a Requirements Research FieldLanguage sciencesEducation LevelPhD or equivalent Research FieldCultural studiesEducation
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stage. The appointee will be required to conduct research and teach in the field of work well-being management, with a particular emphasis on psychosocial risks and mental health, management of work