Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Sveriges Lantbruksuniversitet
- University of Lund
- Linköping University
- SciLifeLab
- Umeå University
- Chalmers tekniska högskola
- Linkopings universitet
- Lunds universitet
- Umeå universitet
- Chalmers University of Technology
- Linköpings universitet
- Mälardalen University
- Nature Careers
- Stockholm University
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences (SLU)
- Uppsala University
- 9 more »
- « less
-
Field
-
associated analysis. Knowledge of various techniques/instruments such as ICP, UV, etc. Experience of statistical analysis of experimental results. Experience of using various software programs such as Matlab
-
Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine learning, and control is essential
-
have one or more supervisors for support during your doctoral studies. However, you work independently to a great amount, e.g. by running statistical analyses and writing articles for journals. A half
-
statistical and algorithmic methods to analyze large amounts of simulation data, models that explain how and why an autonomously controlled machine fails or underperforms, and methods to recognize simulation
-
statistical and algorithmic methods to analyze large amounts of simulation data, models that explain how and why an autonomously controlled machine fails or underperforms, and methods to recognize simulation
-
of excellent research a prominent place in Scandinavian mathematics. The department consists of three divisions: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division
-
dimensionality reduction methods), systems biology analysis (including machine learning and other AI techniques), statistical tools focusing on analysis of complex longitudinal data, and how different types
-
. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
-
assignments Your tasks will be to carry out research using advanced theoretical and computational methods within quantum mechanics and statistical physics with the aim to study novel materials synthesized
-
requirements: A Master of Science degree in Physics, Chemistry, or Materials Science. A strong background in quantum mechanics, thermodynamics, and statistical mechanics. Documented experience in programming. A