Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
interpret the architecture to local field potential data recorded in humans who have seen a vast number of images from the CoCo-database (https://cocodataset.org ); and apply and interpret the architecture
-
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
-
are programmed. This includes defining novel programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing
-
contract Category (A,B or C) : A Contract/project period : Expected date of employment : March/April 2026 Proportion of work : 100% Desired level of education : PhD (Doctorate
-
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
-
existing financial IT infrastructures, could be another potential direction for this PhD project. For example, this could involve studying system architectures that integrate AI with legacy platforms
-
of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
-
new member for our working group “Process Engineering for Fiber Plants” in the department “System Process Engineering”, starting on April 1, 2026. Scientist (for PhD) (m/f/d) In the DFG-SFB, coordinated
-
upstream activities, such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software testing and analysis. For further
-
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