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Field
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Collection, cleaning, and handling of various datasets for research purposes Performing statistical analysis, e.g., in Stata, R, Python, or similar programming languages Basic standard coding of survey
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results in the context of the latest scientific literature to address key R&D questions Collaborate closely with interdisciplinary teams at the research center as well as national and international partners
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/ uncertainty quantification Surrogate modeling / operator learning Strong theoretical understanding of sub-network dynamics, modularity, and system behaviour Programming proficiency: Python, Julia, MATLAB, R
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scientific literature to address key R&D questions Collaborate closely with interdisciplinary teams at the research center as well as national and international partners from academia and industry Present your
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computer skills for text and image processing (Word, Excel) Experience with statistical analysis programs like R Experience with image editing and processing software like ImageJ, Photoshop Experience with
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and backend development (e.g. using Python, Java, database technologies) as well as script-based data processing and analysis (e.g. Python or R). Experience with agile development methods and DevOps
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, R) in Linux environments; demonstrated experience in communicating scientific results in high-quality publications. We offer you an exciting and varied job in a research centre with around 1,000
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engineering subject with a focus on safety engineering or energy and process engineering; a doctorate is an advantage Experience in conducting third-party funded R&D projects and corresponding scientific
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communication skills. The working language of the lab is English; knowledge of the German language is not necessary. Experience in computational image analysis, deep learning, and strong coding skills (Python, R
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Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication