Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Linköping University
- Chalmers University of Technology
- Umeå University
- Mälardalen University
- Swedish University of Agricultural Sciences
- SciLifeLab
- Umeå universitet
- University of Lund
- Chalmers tekniska högskola
- Institutionen för biomedicinsk vetenskap
- Jönköping University
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Luleå University of Technology
- Lunds universitet
- Mälardalens universitet
- School of Business, Society and Engineering
- Sveriges Lantbruksuniversitet
- 9 more »
- « less
-
Field
-
, statistics, programming (e.g., R or Python), or language technology, scientific writing and analytical ability. Experience with text analysis, machine learning, or linguistic data management will be considered
-
and communication or related domains. Proficiency in programming (e.g., C/C++, OpenGL, Python) is required. Also, proficient, prolific, and ethical use of AI in everyday work is a requirement as
-
on the following assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power
-
programming skills in Python are necessary, along with an interest in combining physics with modern computational tools. Good knowledge SQLite is beneficial. Excellent ability to communicate in English, both
-
modeling reaction kinetics. Proficiency in Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB
-
Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support
-
assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
-
and problem-solving skills are important, and previous experience or interest in coding (for example in R or Python) would be a clear advantage since the project involves handling and interpreting
-
molecular simulations. Previous hands-on experience in more than one of the following methods is considered an advantage: molecular simulations, Python programming, machine learning, or quantitative analysis
-
, multiphase flows, or similar areas. A deep understanding of the physics and dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent