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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 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
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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
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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
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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
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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
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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
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” or Neuroeconomics is highly welcome, but not mandatory Knowledge of neuroscientific methods (fMRI, EEG, MEG or NIRS) and/or in psychophysics would be of great advantage Programming skills in Matlab, R or python and
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab
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machine and deep learning Programming experience with Python and Pytorch Strong analytical and problem-solving skills Excellent communication & interdisciplinary skills Fluency in English (written and