Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Lund
- Linköping University
- Lulea University of Technology
- SciLifeLab
- University of Gothenburg
- Mälardalen University
- Swedish University of Agricultural Sciences
- Department of Chemistry - Ångström Laboratory, Uppsala University
- Karolinska Institutet (KI)
- Stockholm University
- Umeå University
- 1 more »
- « less
-
Field
-
necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering design software
-
Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written
-
or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium imaging data) FELASA B certification to
-
(Python and R for using the tracking software and data produced) abilities, and a publication record demonstrating excellence in these key skills. Excellent written and oral communication skills are
-
open-source; Optimization of building energy consumption, both electrical and thermal; Modelling, optimization and/or control of either buildings or energy systems; Programming in Python, MATLAB, or
-
experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating
-
communication skills in written and spoken English We consider it a merit if the candidate has skills in programming languages (e.g. python, R), has experience in fieldwork and has a driving licence. In the
-
demonstrated the ability to conduct high-quality research in high-dimensional statistical theory, from both theoretical and applied perspectives. Strong programming skills in R, MATLAB, and Python are
-
-cell transcriptomics analyses, and computational skills (e.g., R and Python). Meritorious will be considered experience in Microscopy-based imaging, Immunohistochemistry, and cell culture
-
): Analysis of omics-data or other large-scale biomedical data types Machine-learning and statistical modelling Mechanistic models of biological systems Python, R or equivalent programming environment