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and international conferences, writing R&D reports and scientific publications. What you bring: Ph.D. in Computational Biology, Immuno-Oncology, or a related data-driven field with at least 2 years of
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 8 days ago
, Communication Studies) Solid knowledge of quantitative methods in empirical social research and statistical data analysis (e.g., in R or Stata), along with the ability to present and visualize analytical results
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areas: EEG, multimodal MRI, or imaging genetics, documented through peer-reviewed publications excellent programming skills (e.g. Python, MATLAB, R) experience working with distributed computing resources
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: - Familiarity with working with quantitative data and ideally historical data sources - Knowledge of descriptive statistics and statistical software (e. g. R, stata, Python) - Interest in economic sociology and
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or transnationalization research. Job description: - carry out extensive online literature searches & summarize findings in English - quantitative analyses of data sets with STATA or R - provide general project assistance
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references Interested applicants should send us the necessary documents via email to: applications@msrm.tum.de quoting “PhD/Postdoc Application, Project R” in the e-mail subject line. Applications will be
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 10 days ago
analysis platforms integrating AI and machine learning pipelines Coding skills in Python or R for data processing and visualization is an asset Fluency in English (spoken and written) Strong scientific
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in analyzing and integrating large-scale bulk multi-omics datasets, experience in single-cell and spatial-omics approaches will be considered an advantage Proficiency in programming languages such as R