Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet (KI)
- SciLifeLab
- University of Lund
- Lunds universitet
- KTH Royal Institute of Technology
- Swedish University of Agricultural Sciences
- Nature Careers
- Umeå universitet stipendiemodul
- Chalmers University of Technology
- Umeå University
- Högskolan Väst
- IFM, Linköping University
- Jönköping University
- Linköping University
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Uppsala universitet
- Örebro University
- 8 more »
- « less
-
Field
-
trade-offs, system integration) Multidisciplinary modelling (combining cycle, component, aerothermal or thermal network models) Numerical methods and simulation tools (e.g., Python/Matlab, Modelica, CFD
-
, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
-
expert knowledge in working with and developing bioinformatics tools in Python, Julia, R or C++. Have extensive experience with NGS data analysis. Have experience in sample preparation for and sequencing
-
/or statistical modelling, demonstrated through thesis work and/or scientific publications. Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g
-
skills with Python. Desirable qualifications: Previous experiences with kinetic Monte Carlo. Previous experience with machine learning applications in molecular modelling, including experience with
-
Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based
-
, 3DExperience) Basic programming experience in control systems and process analysis software (e.g., LabVIEW, Matlab, Python) Merits for the position include: Experience in friction stir welding experiments
-
and in cell culture. Proficiency in R and/or python. Practical experience in analytical methods including multiplex flow cytometry and cytokine assays, as well as associated data analysis. Practical
-
Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
-
. Expertise in any of the following can be an advantage, but none is obligatory: Reproducible data analysis in R/Python/Julia Cell wall biochemistry Plant in vitro culture work In situ microscopy and