142 machine-learning-"https:" "https:" "https:" "https:" "U.S" PhD positions in Norway
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- University of Bergen
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Oslo
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- BI Norwegian Business School
- Molde University College
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- OsloMet – Oslo Metropolitan University
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- Diakonhjemmet Hospital
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- Norwegian Institute of Science and Technology (NTNU)
- Simula UiB AS
- The Norwegian School of Sport Sciences
- University of Agder
- University of Agder (UiA)
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- University of South-Eastern Norway
- VID Specialized University
- Østfold University College
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research and academic bodies. This collaboration is centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial
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methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information
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, https://hkdir.no/en/foreign-education . A grade average of B or better (or equivalent score) is required for both the program overall and the master’s thesis. The grades at the qualifying MSc examination
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Physiology, Internal Medicine Secondments : - University of Bergen (N): To screen and characterise patients with PAI. - University of Manchester (UK): To learn mathematical modelling of hormone rhythms
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for forest applications Good presentation skills, written and oral Qualifications that will be emphasized Experience from research in boreal forest ecosystems Programming skills Experience with machine
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, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position Fundamental contributions in embodied AI
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. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier
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. More information about project partners is available on the project website here: https://www.ntnu.edu/isa/welgai n Duties of the position The successful applicant will conduct quantitative research with
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of current work processes. The project will adopt social science and sociotechnical perspectives such as computer supported collaborative work, HCI or organizational sociology to investigate the intra- and
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synthetic biology, machine learning (ML), and ultrahigh-throughput screening (microfluidics) to discover new enzymes and bioactive molecules with applications in biotechnology, medicine, and sustainability