391 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- Aalborg University
- University of Southern Denmark
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Graduate School of Arts, Aarhus University
- Danmarks Tekniske Universitet
- COPENHAGEN BUSINESS SCHOOL
- Geological Survey of Denmark and Greenland (GEUS)
- NVIDIA Denmark
- 4 more »
- « less
-
Field
-
coding, automated testing, deployment, and ongoing monitoring of production environments. Required qualifications for the position: Proven experience in at least two of the areas in the job description
-
are expected to have a strong background in marine hydrodynamics or related fields, along with substantial experience in code development and numerical modeling. The role requires a proactive approach
-
https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 13. Questions For specific information about the PhD fellowship, please contact
-
and the Code of Conduct for the Recruitment of Researchers, promoting an inclusive, merit-based, transparent, and unbiased recruitment process. After an eligibility check assessment will be based
-
Quantum Computing Programme can be found on the website: https://nqcp.ku.dk/ The Faculty of Science at the University of Copenhagen – or SCIENCE – is Denmark's largest science research and education
-
software and code changes. In the long term we are planning to supervise Bachelor/Master projects and potentially develop courses about effective use of large-scale Storage-, HPC-, cloud- and data management
-
Diplomas (MSc/PhD – in English) List of publications Links to relevant public code repositories that you may have contributed (optional) 2 references (who we can contact for further details) Applications
-
data. You will encode prior knowledge of the collisional processes in tokamak fusion plasmas using sophisticated numeric simulation codes, which will enable you to analyze data from tokamak experiments
-
Copenhagen area. The group develops the GPAW electronic structure code, the ASE Python library, and the TaskBlaster workflow framework. Substantial computational resources are available for the project through
-
, such as graph-based approaches with Retrieval-Augmented Generation (RAG) and fine-tuning of LLMs. • Contribute to developing open-source tools and code repositories • Produce high-level scientific