Sort by
Refine Your Search
-
-of-the-art semantic and instance segmentation algorithms for 3D and 4D microtomography data. The project has a particular focus towards analysing fibre-based materials but will also consider other material
-
environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
-
—typically developed in Unity—to offload compute-intensive tasks dynamically across a distributed infrastructure. A critical part of this effort will involve integrating and exposing hardware accelerators
-
algorithms. Work duties The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position includes
-
cost-efficiency in supply chains; centralised versus decentralised storage and distribution; and short-term food security needs versus long-term circularity and environmental goals. This shift is vital
-
experiments to evaluate protein self-assembly. An ability to derive equations and writing code to analyze data on protein self-assembly. Practical experience in measuring protein size distributions and