Sort by
Refine Your Search
-
efforts to contribute to safer marine operations, we actively explore possibilities to utilize both numerical and machine learning methods to enhance the accuracy and resolution of metocean forecasts. About
-
. The link between graphite crystallinity, flake size, and purity (all being important for industrial applications) and its formation history is not fully understood. Therefore, the numerous graphite
-
researchers. OCBE is internationally recognized, with interests spanning a broad range of research areas - including methods for high-dimensional data and data integration, especially in molecular medicine
-
coordination of resources, including operators, equipment, and facilities, both within and across projects. This position will bridge this gap by exploring the application of logistics methods and digital
-
for education in Norway. The Department of Teacher Education at NTNU educates the teachers of our future, from primary school through upper high school, and hosts numerous and diverse research groups . The PhD
-
applications in parametric modeling environments, including beam, shell, and solid-based elements. Creating a robust foundation in FEM theory and numerical methods, enabling the candidate to specialize in
-
of experimental studies and numerical simulations.Identification and assessment of safety related issues during in-situ handling of the biocarbon may be done through methods like inspections
-
methods to be considered for numerical optimization by an Energy and Emission Management System (EEMS). Data-driven AI methods (e.g. Reinforcement Learning and/or Recurrent Neural Networks) to be considered
-
identifying which patients will benefit from surgical valve repair. To address these issues, better patient selection methods and deeper insights into disease mechanisms are needed. This project proposes