231 machine-learning-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions in Norway
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for lifelong learning The Department of Art, Design and Drama has a vacant three‑year temporary position as a PhD Fellow in the field of storytelling for a grounded green transition. The fellow will develop and
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, you can expect: An attractive and supporting learning environment Participation in research groups Close supervision Skilled supervisors Excellent job prospects The programme is administered by
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in the position, depending on the employee’s qualifications and the faculty’s needs. The research will primarily focus on two recently funded projects: ICE BRIDGE and AUTO-MARE . The position will be
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-promoting work (e.g. teaching at the Department). The position is subject to financing by the project GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), Maria Skłodowska Curie
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-promoting work (e.g. teaching in the Department). The position is subject to financing by the project GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), Maria Skłodowska Curie
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for three years with research duties exclusively. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided
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equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior
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acquire. Access to career guidance will be provided throughout the doctoral education. Research topic LISA is the forthcoming ESA-led mission designed to measure gravitational waves in the millihertz
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for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree with a learning outcome corresponding to the descriptions in
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive