128 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship research jobs in Norway
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particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role? Qualification requirements: The Faculty of Mathematics and Natural Sciences has a
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to oxygen. • Conducting complimentary microbiological & biogeochemical measurements (e.g. nutrients, flow cytometry, pigments). • Using machine learning as a tool in analyzing diversity data. At UiT we put
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of Oslo for the project: DC14 - ESKAPE pathogen adhesion to cells and implant surfaces Supervisors Dirk Linke: https://www.mn.uio.no/ibv/english/people/aca/dirkl/index.html Håvard Haugen: https
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acquire such competence during the employment period. In such cases, you will also be assigned relevant teaching as part of the career-promoting work. The appointment is to be made in accordance with NTNUs
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on other experiments within the Cosmoglobe network to broaden their scientific skills and network. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/289299/postdoctoral
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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integrated into creative and artistic subjects to enhance human creativity, learning, and formation. The position allows for research into various ethical considerations related to the use of AI in the arts
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, geometric deep learning. Considered an advantage: experience in programming or course work in computer science, algebra, topology or differential geometry, knowledge of topological data analysis or machine
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for the project: DC4 - The role of invasin-integrin interactions in Klebsiella and Enterobacter infections Supervisor Dirk Linke: https://www.mn.uio.no/ibv/english/people/aca/dirkl/index.html Co-supervisors: Håvard
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be developed specifying the competencies that the research fellow is expected to acquire. The institution is responsible for ensuring that the career plan is followed up and that the research fellow