Sort by
Refine Your Search
-
Employer
-
Field
-
15th April 2025 Languages English English English At the Department of Electronic Systems we have a vacancy for a PhD candidate PhD Candidate in Machine Learning and Signal Processing Apply
-
well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team
-
foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
-
15th September 2025 Languages English English English The Department of Modern History and Society at NTNU (Trondheim) has a vacancy for a PhD Candidate in Modern Economic History Apply for this job
-
20th June 2025 Languages English English English The Department of Physics has a vacancy for a PhD position in theory of multiphase flow in porous media Apply for this job See advertisement This is
-
the PhD candidate may include (non-)linear inverse load estimation and data-driven/machine learning techniques that rely on physics-informed guidance for improved robustness. A key task will be to quantify
-
Stig Brøndbo 26th May 2025 Languages English English English Faculty of Health Sciences PhD Fellow EU MSCA Doctoral Network project: ENDAMR Apply for this job See advertisement The position A PhD
-
the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration
-
relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water
-
relevant background within control, building, or HVAC engineering. A background in applied mathematics can also be relevant if there is a strong focus on data-driven modeling, machine learning, and control