Sort by
Refine Your Search
-
Category
-
Employer
- NTNU Norwegian University of Science and Technology
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Oslo
- Norwegian Institute of Science and Technology (NTNU)
- UiT The Arctic University of Norway
- University of Agder (UiA)
- University of Inland Norway
-
Field
-
. More information about project partners is available on the project website here: https://www.ntnu.edu/isa/welgai n Duties of the position The successful applicant will conduct quantitative research with
-
, Dr Eder Zavala, and Prof. Marcus Tindall Location: University of Reading, UK Duration: 3 years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at
-
in the structured PhD programme at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships
-
entering a phase where AI adoption increasingly affects financial decision-making, cost structures, investment strategies, and long-term value creation. AI influences how companies allocate capital and
-
set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and
-
Structured Thourough Trustworthy Innovative, creative and open minded Emphasis will be placed on motivation, personal and interpersonal qualities. We offer An exciting job with an important mission in society
-
organisations. More information about CET’s research focus can be found on the website https://www.uib.no/en/cet and particularly in the CET Strategy 2023-2026. About the project/work tasks: The PhD fellow is
-
upon by individuals, communities, policymakers and organisations. More information about CET’s research focus can be found on the website https://www.uib.no/en/cet and particularly in the CET Strategy
-
mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
-
situation. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction