Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Umeå universitet stipendiemodul
- Lunds universitet
- Nature Careers
- Högskolan Väst
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Linköping University
- SciLifeLab
- Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Uppsala universitet
- 4 more »
- « less
-
Field
-
the amount of information that they can deal with at each iteration, and consider the humans’ reactions during the interaction. See: https://www.umu.se/en/research/groups/xai--explainable-ai/ Project
-
, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
-
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
-
skills in Matlab and/or Python. Meritorious qualifications Experience in medical image analysis. Knowledge of or practical experience with generative models, anomaly detection, and image and signal
-
modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
-
modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
-
) Experience with data analysis software (e.g., Python, MATLAB, Origin) Ability to work collaboratively in multidisciplinary research teams About the employment The employment is a temporary position of 2 years
-
image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with
-
(e.g., COBRApy, COBRA Toolbox, RAVEN). Demonstrated experience with machine learning methods and their application to biological or scientific data. Strong programming skills in Python, with experience
-
the infrared spectral region experience with programming for data analysis in Python and experimental control in LabVIEW ability to work both independently and collaboratively with other researchers Additional