Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Aalborg University
- Aarhus University
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- University of Southern Denmark (SDU)
- Geological Survey of Denmark and Greenland (GEUS)
- Aarhus University;
- Technical University Of Denmark
- Technical University of Denmark
- Technical University of Denmark;
- Aarhus University (AU)
- Roskilde University
- RegionH
- Technical University of Denmark (DTU)
- University of Southern Denmark
- University of Southern Denmark;
- 7 more »
- « less
-
Field
-
both the project direction and your own research profile. The project involves a collaboration with the propeller specialist Everllence. Relevant competencies • Boundary Element Method, Finite Element
-
Post Doc position in transition metal catalysis and carbon capture Are you interested in combination of transition metal catalysis, and can you contribute to the development of materials for CO2
-
? No Offer Description Tenure-track Assistant Professor or Associate Professor of Food and Ingredient Biochemical Processing Department of Food Science Faculty of Science University of Copenhagen
-
duration of employment This is a 5-month position (30 hours/week) from 01 November 2026. Job description You will be contributing to the development of catalytic methods based on transition metal catalysis
-
with quantitative methods and data management have experience with programming, for example in Python, R, or similar have an interest in AI, generative AI, learning technology, or business analytics
-
computer science and philosophy. The REMAX project on Rigorous Evaluation Methods for AI Explainability, funded by a Villum Synergy grant, aims to create methods for explainable AI and their rigorous evaluation. It
-
electronic components by integrating thermal design directly into the early stages of technology and component development, this position may be the right opportunity for you. We are looking for an Assistant
-
, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide
-
. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health
-
Do you bring together domain specific knowledge from the social sciences with a genuine, hands-on command of AI and/or digital methods? Would you like to advance research that integrates state