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of programming languages (e.g., Python or R)We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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psychoneuroendocrinology, enthusiasm for interdisciplinary research, and strong skills in experimental set-ups/performing lab-based studies and statistics. Programming skills (Python, R, Matlab) and experience with MRI data
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. Essential qualifications include solid programming skills (preferably in Python and R), proven experience in the analysis of large-scale datasets (e.g., NGS, metabolomics), and familiarity with statistical
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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equivalent in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
, template programming, and multithreaded development # Experience with statistical computing environments such as R or MATLAB is essential # Knowledge of Monte Carlo simulation methods using the Geant4
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. this includes online activities). R equirements: Master?s degree and documented experience and knowledge in either of the following: materials science, biomedical engineering, chemistry, chemical engineering
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in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and
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Experience in planning of epidemiological studies and/or the analysis of data from statutory health insurances would be desirable Programming skills in SAS and R Good knowledge of spoken and written English
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a completed or in-progress Ph.D Good knowledge of quantitative research methods and data in the social sciences, and statistical programs for handling them (e.g., Python, R, and Stata) Experience