Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
seen in energy and electricity supply from non-renewable sources, due to, e.g., recent national policy changes around nuclear power or imported gas and oil. The demand side is transforming as well
-
supports numerical computational modeling of subsurface flow and well performance, mentors PhD students, and contributes to ongoing research projects. This is a temporary, part-time (wage-payroll) hourly
-
. Project Overview The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower
-
to develop new sustainable processes to make a range of chemicals, allowing us to move away from crude oil as a precursor of products such as plastics, fuels, and pharmaceuticals. One way to achieve this is
-
of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
-
, but despite its importance, related control strategies in practice are often very crude and rule-based without incorporating any complex plant/microclimate interactions or economic considerations
-
with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
-
with traffic jams spreading like oil spills over entire networks. We believe traffic management based on reliable predictions is therefore crucial to ensure accessibility and safety, especially during
-
complex dynamic system. Minor disruptions can lead to major delays with traffic jams spreading like oil spills over entire networks. We believe traffic management based on reliable predictions is therefore
-
CAD modelling CFD Demonstrated ability to work independently and to formulate and tackle research problems. Demonstrated academic research experience as evidenced by publications in high quality