Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
? PhD position in Algorithms and Extremal Combinatorics There is a vacancy for a PhD Research Fellow in Algorithms and Extremal Combinatorics at the Department of Informatics . The position is for a fixed
-
. This includes building a physical robot system that can be used in the project to explore iterative evolution of not only the way a robot acts, but also its physical body. They will build on the work done by
-
uncertainty, and explainability and reliability. The project will have an applied focus, so the aim is to develop algorithms and implement these in systems that enable testing and evaluation in collaboration
-
Algorithms of Pursuit søk stillingen se annonse This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three
-
candidate will contribute to: Developing supervised deep learning algorithms for 3D point clouds Developing self-supervised deep learning algorithms for 3Dpoint clouds Expand for a wider variety of downstream
-
skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik at vi
-
the head of the DART unit. Are you ready to take your research career to the next level? We offer an exciting 3-year postdoctoral position that gives you the opportunity to develop a strong profile as
-
, is available at the Department of Biology of the Norwegian University of Science and Technology (NTNU), Trondheim. The Vandegehuchte lab is part of the Biodiversity, Ecology, and Evolution (BEE
-
universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive
-
is not a standalone concept and has close connections to diversity, transparency and bias. In this position, the PhD candidate will work on algorithmic fairness in job recommender systems