Sort by
Refine Your Search
-
The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en/ ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
-
components. To strengthen our research group, Integrative Food Systems Analysis / Section III, we are currently looking for a committed PhD Student to start on 01/05/2026. The position is part-time (TV-L 13
-
familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
-
methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
-
Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
-
part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
-
components. To strengthen our research group, Integrative Food Systems Analysis / Section III, we are currently looking for a committed PhD Student to start on 01/05/2026. The position is part-time (TV-L 13
-
The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
-
of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
-
the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods