Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of combined classical and quantum communicating and computing systems as well as their timing performance is available and open for appointment from March 1, 2026, or soon as possible thereafter. In
-
to transform the entire structure and functioning of Arctic coastal marine ecosystems. CIFAR is a research center that aims to unravel how the complex interplay between ice melt, runoff and ice formation across
-
1, 2026 (or as soon as possible thereafter) for 12 months initially, with the possibility of extension up to three years based on performance. The successful candidate will investigate gene regulatory
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SDU Robotics , part of the Maersk Mc-Kinney Moller Institute
-
A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources and open-source datasets. Opportunities to co-supervise
-
. In terms of research The position includes research within the project Best for Us (in Danish, Bedst for Os) https://bedstforos.dk/ . Best for Us is a large research project aimed at investigating
-
on qualified candidates for the position. Department of Chemical and Biochemical Engineering performs research, educational activities, and innovation at a high international level. The overall aim is to develop
-
to transform the entire structure and functioning of Arctic coastal marine ecosystems. CIFAR is a research center that aims to unravel how the complex interplay between ice melt, runoff and ice formation across
-
cellular processes efficiently. This project aims at understanding the formation and functioning of aggregate-forming Archaea-Bacteria partnerships. The project involves working with syntrophic deep-sea
-
regulation, or aging biology Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance