678 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Nature Careers
- Aalborg University
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Aarhus University;
- Graduate School of Arts, Aarhus University
- ;
- Danmarks Tekniske Universitet
- Technical University of Denmark;
- Aarhus Universitet
- COPENHAGEN BUSINESS SCHOOL
- Geological Survey of Denmark and Greenland (GEUS)
- NVIDIA Denmark
- University of Southern Denmark;
- 9 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Medical Sciences
- Economics
- Chemistry
- Mathematics
- Science
- Business
- Materials Science
- Environment
- Social Sciences
- Humanities
- Arts and Literature
- Electrical Engineering
- Psychology
- Linguistics
- Earth Sciences
- Education
- Philosophy
- Sports and Recreation
- Physics
- Statistics
- 13 more »
- « less
-
analysis to translate THz signals into optical material properties such as refractive index and absorption coefficient. Development of machine learning algorithms for material classification. Exploration
-
labelled images. Close collaboration with the rest of our interdisciplinary team at DTU Construct and Vistacon, particularly the other postdoc position focusing on image analysis using deep learning. Please
-
workflows Experience in quantitative data analysis and computational approaches; familiarity with machine learning or advanced statistal methods is advantageous Preferably experience with micro-CT imaging
-
on Nanoparticles You will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include: Advancing equivariant neural network
-
, Bash). Experience working in a Unix/Linux environment, including setting up and managing High Performance Computing (HPC) clusters. Familiarity with metagenomic data analysis and machine learning
-
expected to learn new laboratory techniques and become able to use them autonomously. Furthermore, he/she will attend weekly seminars and laboratory meetings. The working hours are 37 hours per week. For
-
can be found at: https://www.globe.ku.dk/ . The Globe Institute is committed to creating an inclusive and diverse environment where employees and students can belong and thrive. See website for more
-
electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
-
University (AAU) in Aalborg. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic
-
of these materials. Implementation of artificial intelligence (AI) and machine learning (ML) to establish the connection between the existing models and material data (both literature and the baseline established in