57 algorithm-"Multiple"-"U"-"Prof" "NTNU Norwegian University of Science and Technology" Fellowship positions in Norway
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- University of Bergen
- University of Oslo
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- NTNU - Norwegian University of Science and Technology
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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and
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the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important
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with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological modelling, with an emphasis on zoonotic
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). The position is for a fixed term of 3 years and is associated with The Center for Digital Narrative (CDN) . The Center focuses on algorithmic narrativity, interactive environments, materialities, and shifting
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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algorithms in digital information environments, news and technology in everyday life, differences in attitudes to AI between journalists and audiences, or experiences and understandings amongst different
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collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM
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the aggregation intervals are adjusted to reflect intrinsic demand-supply patterns, price volatility, and grid conditions. Methodologically, this requires the development of adaptive algorithms and statistical
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advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g