598 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions in Norway
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, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies (mAbs) used in autoimmune, inflammatory, and neurological diseases. Using
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning or other relevant AI technologies Scandinavian
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academic environment. The person appointed will primarily teach and supervise students at bachelor's, master's and doctoral levels within the subject area, conduct research and disseminate research results
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academic updating. At the core of the position lies the responsibility to teach main and elective courses within both the Bachelor (BFA) and the Master of Fine Arts (MFA), as well as individual supervision
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world and solutions that can change everyday life. Department of Structural Engineering We teach mechanical engineering, engineering and ICT, and civil and environmental engineering. The Department
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well as innovative and inquiry-based teaching and learning. The Faculty consists of six departments as well as a Faculty administration. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296312/phd
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and
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for this position is on campus in Bergen, and full presence is expected. Work tasks: Teaching and supervision, including examination. Shared responsibility for learning resources in accordance with study programs
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to team-working and personal skills. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292642/postdoctoral-fellow-in-molecular-cell-biology Where to apply Website https
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event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and