Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Aarhus University
- Aalborg University
- Nature Careers
- University of Southern Denmark
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Aarhus University;
- Graduate School of Arts, Aarhus University
- University of Southern Denmark;
- ;
- Danmarks Tekniske Universitet
- Aarhus Universitet
- COPENHAGEN BUSINESS SCHOOL
- European Magnetism Association EMA
- Geological Survey of Denmark and Greenland (GEUS)
- NVIDIA Denmark
- Technical University of Denmark;
- 10 more »
- « less
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Chemistry
- Mathematics
- Science
- Social Sciences
- Environment
- Materials Science
- Business
- Humanities
- Psychology
- Arts and Literature
- Electrical Engineering
- Linguistics
- Earth Sciences
- Education
- Philosophy
- Physics
- Sports and Recreation
- Statistics
- 13 more »
- « less
-
information about the position may be obtained by contacting Peter Bollen (peter.bollen@sund.ku.dk) or Clara Prats (cprats@sund.ku.dk). Application Deadline - Submit your application with CV, references, and
-
to assess and interpret data from experiments, with the ability to identify trends, troubleshoot issues, and optimize processes. Experience in critical evaluation and troubleshooting of both process
-
on Department of Sustainability and Planning here. You may obtain further professional information from Associate Professor Ivar Lyhne, +45 5142 2310, lyhne@plan.aau.dk How to apply Your application
-
to the faculty’s departments. Consequently, your employment will as of that date be with a department. Contact information For further information, please contact: Professor Troels Skrydstrup, +45 28 99 21 32, ts
-
leading department of a highly reputed technical university, supporting cutting-edge research with robust, sustainable software and data solutions? Are you visionary and excited about developing a new
-
channels to showcase success stories and opportunities. Team and administrative support: As part of the External Relations Team, contribute to shared tasks such as onboarding new staff, cost modelling, data
-
Job Description Are you passionate about environmental contaminants, food safety, marine ecosystems, and creating real-world impact through cutting-edge analytical and data-driven approaches? Do you
-
description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
-
candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
-
properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments