34 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Estonia
Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
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
-
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
-
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
-
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
-
. 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
-
/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
-
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
-
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
-
. 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
-
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