40 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions in Estonia
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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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and UAV/drone-based environmental monitoring, as well as applications of machine learning. Experience in initiating, applying for, and participating in research and development projects, including
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critical maritime operation or system Collecting and curating operational and security-related data for AI-based threat analysis Training AI and machine learning models for anomaly and threat detection
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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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. Promotion and popularization of one’s field of expertise. Education PhD or an equivalent qualification. Work experience Ability to organise teaching and teach at all levels of higher education. Previous
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) extremes, preventive methods for mitigation of marine-induced hazards, application of machine learning techniques and opportunities provided by AI. Even though the listed advanced topics are mostly at the
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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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conducting simulator-based experiments, collecting and analyzing human performance and psychophysiological data, and developing models of human–machine collaboration for safe and efficient navigation