67 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" PhD positions in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Oslo
- NTNU Norwegian University of Science and Technology
- OsloMet
- University of Bergen
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nord University
- UNIS
- University of Stavanger
-
Field
-
while offering flexibility to tailor your training to specific needs and interests through elective courses and secondments. • Blended Learning Approach: Our training combines intensive in-person
-
, will analyse the impact of blockades on households, states, corporations and the international order; on the development of political and military strategy; on how the wars were prepared, experienced and
-
interconnectedness have fundamentally altered the landscape in which organizations and their projects must now operate. The result is a VUCA world, a term borrowed from military strategy, where Volatility, Uncertainty
-
with machine learning or other relevant AI technologies Scandinavian language skills Previous experience from industry or research in engineer-to-order manufacturing. This can be proven by the attendance
-
allocation, or control optimization). Experience with 3D sensing, perception, computer vision, or sensor fusion. Proficiency in programming languages such as Python, C++, or C#. Experience working with
-
energy applications. You must have experience with data analysis, machine learning, or AI-supported methods applied to engineering or safety problems. PLEASE NOTE: For detailed information about what the
-
interest in both synthesis/manufacturing of materials and working with optical methods to characterize thin films. You enjoy working with and maintaining experimental setups (e.g. MBE machines and/or
-
AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and extended for maritime design challenges. The final research
-
, you can expect: An attractive and supporting learning environment Participation in research groups Close supervision Skilled supervisors Excellent job prospects The programme is administered by
-
conducted according to national guidelines for University and Technical College PhD scholars, and in accordance with the Civil Servant Act, the Security Act, and the Export Control Act. Interested in learning