Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- University of Tübingen
- Fritz Haber Institute of the Max Planck Society, Berlin
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute of Biochemistry, Martinsried
- 3 more »
- « less
-
Field
-
collaborative scholars. Good knowledge of quantitative methods and statistical software such as R, Python, or Stata is required.The Max Planck – University of Helsinki Center for Social Inequalities in Population
-
Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
of quantitative methods and statistical software such as R, Python, or Stata is required. The Max Planck – University of Helsinki Center for Social Inequalities in Population Health is a major joint initiative of
-
reporting skills (4) Experience in spatial data analysis using geographic information systems (GIS) and programming languages (R, Python) as well as experience in numerical model applications and multivariate
-
geographic information systems (GIS) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge
-
working with ocean or earth system models, or similar models A background in analyzing large data sets and visualizing data using Python, MATLAB, or equivalent very good writing, presentation, and
-
structure- and ligand-based drug design methods (e.g., docking, QSAR, classic molecular dynamics, etc.) Familiar with all aspects of protein-ligand interactions. Solid python programming knowledge and good
-
Computational Pathology is preferred. A strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Proficiency in Python, TensorFlow/PyTorch
-
hardware interfacing programming in Python Team-oriented and highly motivated to work in an experimental laboratory A background in quantum computing as well as experience with cryogenics, signal delivery
-
programming skills with python Comprehensive knowledge of data science, data analysis, data management as well as machine learning Experience with data-driven machine learning (SINDY, LASSO, SISSO packages
-
using geographic information systems (GIS) and programming languages (e.g. Matlab, Python, R) and working with large data sets and data formats, such as netCDF, HDF, including analysis tools such as NCO