Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- SciLifeLab
- KTH Royal Institute of Technology
- Linköping University
- Lunds universitet
- Swedish University of Agricultural Sciences
- Umeå University
- Karolinska Institutet (KI)
- Uppsala universitet
- Luleå tekniska universitet
- Mälardalen University
- Lulea University of Technology
- Blekinge Institute of Technology
- Institute of Medicine, Sahlgrenska academy, University of Gothenburg
- Institutionen för biomedicin
- Jönköping University
- Linkoping University
- Luleå University of Technology
- Uppsala University
- 10 more »
- « less
-
Field
-
. Developing software projects from low level hardware interfaces to high level optimized applications mainly in Python and under Linux. Increasing the functionality and reliability of the beamlines in order to
-
of experience developing in Python, including type annotations, packaging, dependency management, logging and error handling Extensive experience using Docker and Docker Compose for development, testing and
-
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
-
harmonisation of variables across cohorts. knowledge of Python or other programming languages. Other information This is a permanent position, 100 %, starting as soon as possible or according to agreement. A six
-
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
-
microscopy (LEEM). Experience in programming (e.g., Python, C++, Matlab, Igor Pro, or other) for data analysis. Experience in using and maintaining ultrahigh vacuum instrumentation. Demonstrated ability
-
research partners. Tasks and responsibilities You will conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing
-
, 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
-
. Experience with hands-on prototyping and experimental work. Experience with 3D printing, fabrication, or workshop tools. Python programming skills. Ability to work independently while collaborating effectively