Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- SciLifeLab
- KTH Royal Institute of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- Mälardalen University
- University of Lund
- Uppsala universitet
- Linköping University
- Linköping University (LiU)
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- Umeå University
- Uppsala University
- 4 more »
- « less
-
Field
-
studies (GWAS), polygenic risk score (PRS) analyses, and family-based study designs. Strong programming and data management skills, including proficiency in statistical software such as R, Python, SAS
-
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
-
, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet the following criteria: a Ph.D. or M.D./Ph.D. in computational biology, or in biomedical sciences with a
-
notebooks, Python or similar, are merits. About the employment The employment is a temporary position of 2 years according to central collective agreement, with the possibility of an extension of up to 1 year
-
in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
-
field. Demonstrated experience with satellite remote sensing for large-scale vegetation or forest monitoring, including Landsat and/or Sentinel-1/2 time series. Strong proficiency in Python for geospatial
-
using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic systems. Experience supervising Bachelor’s or Master’s students. Experience in
-
. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic
-
, optimization, or related fields. Proficiency in scientific programming (e.g., Python, Julia, or C++) and experience implementing optimization algorithms. Proven ability to work both independently and in
-
manufacturing is desirable. Prior experience in laboratory and project management is also advantageous. Programming skills or acquaintance with applying Python packages, statistical data analysis packages