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way of working and quick comprehension; ability to quickly familiarize yourself with new concepts Enjoy scientific work in a cross-domain context. Good knowledge of programming languages (e.g. Python, R
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programming skills (in Python, R or similar) and experience with large-scale data analysis using bioinformatic tools and pipelines to analyse and interpret biological data Attributes and Behaviour • Be
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analysis. Technical skills (e.g. Python, R, Unix) are also highly desired, but not required. Prior experience managing teams of people and/or an interest in psychological and neurobiological changes across
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driven research Maths competency and experience with statistics in research Software competency: ImageJ, Matlab, Graphpad Prism, R Evidence of Github use An interest in cardiovascular physiology
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, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department of Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc
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quantitative field ;•Excellent knowledge and experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS
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experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS, Python is an asset ;•Excellent communication
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research lab settings. (Required) Experience working with children or adolescents, and their families. (Required) Working knowledge of REDCap, Microsoft Excel/Office, and R. (Required) Administering
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psychological research. Strong managerial and organizational skills with the ability to handle multiple projects simultaneously. Proficiency in MS Office Suite (Word, Excel, Power Point) and SPSS and/or R. Strong