Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
-
of this PhD is to develop physics-informed neural operator frameworks that embed governing equations and invariants of fluid mechanics directly into learning architectures, enabling real-time, generalizable
-
and curate software, datasets, and other resources for the community. Collaborate on the design, implementation, and refinement of tools for formal mathematics. Foster connections across disciplines
-
if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phet) You must
-
exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
-
-quality and sustainable scientific software, and collaborating closely with a team of PhD students and postdoctoral researchers. Key responsibilities Software development & maintenance The RSE will
-
on an industry innovation research project where you will be part of the research team to develop/produce/investigate a web-based Ship Simulation and Optimisation Software Platform. Key Responsibilities
-
background in Computer Architecture and Systems, Operating Systems and Compilers, Artificial Intelligence and Big Data Analytics, and Information Security. Other areas of interest include Software
-
. This PhD position focuses on the design of novel computer architectures to enable large AI models to run on embedded and edge systems under strict timing, energy, and memory constraints. Current solutions
-
software architecture. Drive research and development of algorithms for natural language understanding, structured command generation, and domain-specific model adaptation or fine-tuning. Integrate NLP and