11 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Tartu 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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found here: https://ut.ee/en/home Subject area and duties: The candidate for the PhD position is expected to conduct research on the synthesis of novel monomers and polymers for high-performance
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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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. 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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three challenging fields of computer simulations, nano-manipulation, and biomedical engineering. MATTER builds on the well-equipped core facilities of UT and establishes synergies with the most
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multidisciplinary approaches, including advanced bio-imaging, image analysis, cell biology, genetics, and molecular biology. Find out more about our research group here: https://tymri.ut.ee/en/content/developmental
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Perception and Learning of a Foreign Language,” led by Dr. Siqi Lyu . The research project adopts both the behavioral and EEG methods to investigate how three groups of native speakers, i.e., Mandarin Chinese
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. Education PhD or an equivalent qualification. Work experience Ability to organise teaching and teach at all levels of higher education. Previous broad range teaching experience in different areas
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work Workload: 1 Where to apply Website https://ut.recrur.com/public/link/tartu-ulikool-laboratory-assistant-in-tree-bi… Requirements Research FieldEngineering » Biomaterial engineeringEducation
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about what we have done to promote diversity. Benefits/salary details: Remuneration based on UT salary rules. Contract period: 01.04.2026 - 31.03.2028 Workload: 1 Where to apply Website https