Sort by
Refine Your Search
-
data analysis using R or Python good skills in scientific writing practical experience with modelling on compute clusters is an asset We expect: the ability to work independently and on your own
-
focus on physical and mathematical aspects is required. In addition, scientific programming skills (preferably in Python) and experience with numerical models are essential. Desirable qualifications
-
documents, including OCR post-processing and parsing of legacy texts Proficiency in scientific programming (preferably Python), version control (e.g. Git), and data standards such as RDF and Darwin Core
-
, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
-
Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
-
to program in the statistics framework R, and have worked in Python and Java Knowledge of metabolomics or chemistry will be an advantage Our benefits: Excellent working conditions in an international
-
statistical analysis and demonstrated proficiency in Python, R, and/or MATLAB Prior experience in neuroimaging data analysis, AI methods, and/or the computational modeling of psychological processes is
-
processes Knowledge of one or more research methods used in the group (fMRI, EEG, peripheral physiology, ambulatory assessment) and programming skills in R, Python, or MATLAB are an advantage but not required