Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- SciLifeLab
- KTH Royal Institute of Technology
- Lunds universitet
- Umeå University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Mälardalen University
- Linköping University
- Karolinska Institutet (KI)
- Luleå tekniska universitet
- University of Skövde
- Blekinge Institute of Technology
- Institute of Medicine, Sahlgrenska academy, University of Gothenburg
- Institutionen för biomedicin
- Jönköping University
- Karolinska Institutet, doctoral positions
- Linkoping University
- Linköping University (LiU)
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- The Faculty of Technology and Society
- The Swedish University of Agricultural Sciences
- The University of Skövde
- Uppsala University
- 16 more »
- « less
-
Field
-
associated with integrated workflows such as ETS and TCI. Develop coupled multi-physics workflows using IMAS and MUSCLE3. Integrate numerical simulation codes written in Python, C/C++ and Fortran. Design
-
for the position Documented experience using and developing AI tools and models. Hands-on experience with modern AI frameworks such as PyTorch, TensorFlow, or equivalent Strong programming skills in Python and
-
and genetic/epigenetic analyses and research on type 2 diabetes or related cardiometabolic diseases. Documented programming and statistical analysis skills in both R and Python. Documented experience in
-
, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user-friendly Graphical User Interfaces (GUI:s) High motivation
-
of medium-resolution satellite remote sensing data such as Landsat and Sentinel-2. Very good programming skills (e.g. Python, JavaScript). Very good oral and written proficiency in English. Other merits
-
to annotated cell types Experience of working with non-model organisms, where reference resources are incomplete and annotation cannot be taken for granted Strong programming skills (e.g. R and/or Python) and
-
, Matlab or Python) and demonstrated proficiency in the use of statistical tools are considered meritorious What you will do Take courses at an advanced level within the Graduate school of Maritime
-
ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity
-
, computational biology or a related subject area. Experience in human genomics and a good understanding of cancer genomics are required. The candidate should have proficiency in R, python, or comparable
-
to research proposals or applications for external funding. Strong programming skills in Python and/or MATLAB, with experience in scientific computing, signal processing, simulation, or machine-learning