Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- SciLifeLab
- Umeå University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Linköping University
- Mälardalen University
- Karolinska Institutet, doctoral positions
- Lulea University of Technology
- Luleå tekniska universitet
- Umeå universitet
- University of Lund
- University of Skövde
- Blekinge Institute of Technology
- Linkoping University
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- The Faculty of Technology and Society
- The Swedish University of Agricultural Sciences
- The University of Skövde
- universitypositions
- Örebro University
- 15 more »
- « less
-
Field
-
in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life
-
To be qualified for the position, you must have an MSc degree in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong
-
. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
-
MRI data processing and analysis. Knowledge of cardiovascular physiology. Experience programming in MATLAB and Python. Experience in systems biology, mathematical modelling, and digital twins
-
subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). Work duties The
-
. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
-
, or a closely related quantitative field, together with strong programming skills, for example in Python or R. You are welcome to apply should you have a degree in applied parts of statistics
-
models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https