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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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Engineering, NTNU, connected to the industrial research project vitro.scale in collaboration with Vitroscope AS and SINTEF. The project aims to develop an automated high-throughput platform for physiologically
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personal initiative, ambition, self-motivation and work ethic A solution-oriented attitude, ability to solve problems independently The ability to work collaboratively to accomplish common research goals
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research group based at NTNU, with strong links to local and international collaborators. There will be opportunities for conference and workshop participation. The project supervisor will be Associate
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expected to carry out advanced computational analyses. Our underlying model system is the in vitro differentiation of adipose tissue stem cells into adipocytes. The project is in collaboration with
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System Operation and Analysis (PSOA) at IEL, where we foster an open, inclusive, and collaborative working environment. Our working environment is characterized by a friendly, supportive atmosphere, with
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collaboration with University of Oslo (UiO), Norway and the British Antarctic Survey (BAS), UK. The Earth’s ionosphere is a highly dynamic region, particularly at polar latitudes, where it is heavily influenced
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covered by the project. The candidate is expected to collaborate with maritime stakeholders and apply the research to relevant industrial or operational cases. The candidate will join a research environment
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conferences and contributing to collaboration between NIBIO, NMBU, and national and international research partners. Professional qualifications (required) A Master’s degree in machine learning, artificial
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of Dentistry. Access to modern laboratories and opportunities for collaboration with clinical and engineering research groups. A workplace with good development and career opportunities, good welfare schemes and
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to collaborate with researchers working across hardware security, embedded systems, cybersecurity, and digital forensics. A significant part of the research will be carried out in the Hardware security and Reverse