58 machine-learning-"https:"-"https:"-"https:"-"Linnaeus-University" 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
- Nord University
- UNIS
- University of South-Eastern Norway
- University of Stavanger
- Østfold University College
- 1 more »
- « less
-
Field
-
(predictive) modelling, for example machine learning approaches. Experience in conducting field work in polar or alpine regions. Strong and preferably demonstrated interest in interdisciplinary work at the
-
solutions that are practically viable. The successful PhD candidate is expected to carry out research on one or more of the following focus areas: Developing and training robust machine learning surrogates
-
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
-
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
-
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
-
for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree with a learning outcome corresponding to the descriptions in