Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- Technical University of Denmark
- Aalborg University
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Aarhus University;
- ;
- Danmarks Tekniske Universitet
- Graduate School of Arts, Aarhus University
- Aarhus Universitet
- COPENHAGEN BUSINESS SCHOOL
- Geological Survey of Denmark and Greenland (GEUS)
- NVIDIA Denmark
- Technical University of Denmark;
- University of Birmingham
- University of Oxford
- University of Southern Denmark;
- 11 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Medical Sciences
- Economics
- Chemistry
- Mathematics
- Science
- Materials Science
- Business
- Humanities
- Social Sciences
- Environment
- Arts and Literature
- Electrical Engineering
- Psychology
- Linguistics
- Earth Sciences
- Education
- Philosophy
- Sports and Recreation
- Physics
- Statistics
- 13 more »
- « less
-
mathematics, or a related field. The candidates for the PhD position will be assessed on the following criteria: Strong skills in probabilistic modelling, machine learning, or simulation techniques. Programming
-
mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. Modeling Atomic Processes on Nanoparticles Develop atomistic models and machine-learning
-
extensive experience working with large data sets in Python are required for the position. Experience with machine learning, OCR, natural language processing, geospatial analysis, and data visualization is a
-
key agroecosystem variables. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and
-
-constrained machine-learning (ML) models in simulations of turbulent flows. You are expected to contribute to research and development in data-driven methodologies for turbulence modeling in LES (i.e., wall and
-
for collaborative learning will be open for appointment as 1st of July 2026. The employment will be a fixed term (3 years), full-time position, which will include both research and teaching activities. Your work
-
(e.g. using COBRApy or related toolboxes), or a strong motivation to develop this expertise. Data science, AI/ML, and digital surrogate models Experience with data science and machine learning, including
-
algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
-
in one or more of the languages taught at the department (French, German or Spanish). The successful applicant will strengthen the department’s focus on foreign-language teaching and learning at upper
-
is a successful academic community that strives to put knowledge into action by: Engaging partners in the co-creation of knowledge, learning and social change. Empowering our students to become