Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Lunds universitet
- KTH Royal Institute of Technology
- University of Lund
- Chalmers tekniska högskola
- Chalmers University of Technology
- Karolinska Institutet (KI)
- SciLifeLab
- Umeå universitet stipendiemodul
- University of Gothenburg
- Uppsala universitet
- Karolinska Institutet
- Linköping University
- Linköping university
- Lulea University of Technology
- Luleå tekniska universitet
- Mälardalen University
- Mälardalens universitet
- Nature Careers
- Stockholms universitet
- Umeå University
- Umeå universitet
- Örebro University
- 12 more »
- « less
-
Field
-
multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
-
the time the employment decision is made good ability to develop and conduct research of good quality pedagogical ability experience in R and / or Python. statistical knowledge and application experience
-
or Python) and familiarity with advanced analytical techniques (e.g., causal inference, machine learning, time-to-event analysis). Interest in medicine or clinical epidemiology and capability to transfer
-
Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
-
you can say yes to some of the points below, it is highly beneficial: Proficiency in programming languages, preferably Python. Capable of analyzing large datasets Knowledge of AI and machine learning
-
. Proficiency in programming languages such as MATLAB, Python, etc. Assessment criteria This is a career development position primarily focused on research. The position is intended as an initial step in a career
-
. Interest in power electronics, power systems, electromobility. Programming skills in relevant languages, e.g. Python or MATLAB. Knowledge about battery pack testing and design. Experience with statistics and
-
understanding; Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness, and a
-
, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular
-
to work independently and effectively Good command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge