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Field
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chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing
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) is an advantage Experience in software tools such as Origin, Matlab, Python/Matplotlib or similar programs for data processing and evaluation. Knowledge of a relevant programming language complements
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the change! We support you in your work with: Secure employment in a dynamic, international and multidisciplinary environment of scientists from different domains and software developers A creative environment
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. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software
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/or trainings for QC Proficiency in writing numerical software, preferably in C++ and Python Excellent command of written and spoken English, command of German is helpful Our Offer: We work on the very
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/distributed programming and/or solid UNIX skills Practical experience with ML/DL workflows and common software libraries Your experience should be documented in research papers and Open Source code projects
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mass transfer, and process engineering Extensive experience in modeling and simulation and ideally knowledge of CFD software (e.g., Ansys Fluent, OpenFOAM, COMSOL) Very good programming skills
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interdisciplinary perspectives excellent communication skills in English (both written and oral) a willingness to engage with and learn the programming languages and software tools necessary for the modeling work. We
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project led by the MDC/Helmholtz Imaging, GEOMAR, Hereon and FZJ, fully committed to Open Science. We are looking for a PhD student or Postdoc or Research Software Engineer to join our highly vibrant and
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Competency in visualizing and analyzing large-scale datasets using software tools like Matlab, IDL, Ferret, Python, or R Merit criteria: Proven track record of publishing high-quality articles in peer-reviewed