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Python and a profound knowledge of state-of-the-art statistical methods for climate data analysis Working experience with climate (model) data, in particular with large climate model ensembles, and
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environment Preferred Programming skills in Python or Fortran Coding and/or machine learning experience Key Responsibilities & Accountabilities Conduct original research as the primary responsibility
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). Strong coding skills in R, Python, or similar languages. Excellent communication skills in English Required Application Materials: Cover Letter CV Two letters of recommendation, with contact information
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in software for data analysis such as MS Office, Origin or Python. You can express yourself confidently in German and/or English, both written and spoken. What we offer Exclusive insight: By working
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metrology, profilometry or microscopy, together with statistical analysis in R, Python or equivalent software. Dental crown materials, restorative dentistry, prosthodontics or dental laboratory workflows
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. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of statistical concepts and methods are essential. Certifications/Licenses
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computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry
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background and research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics); Significant experience with programming (preferably Python). Good
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background and research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics); Significant experience with programming (preferably Python). Good
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. At least 2 years of relevant hands-on experience in embedded systems, electronics prototyping, robotics, IoT systems, or sensor-based hardware development. Programming experience in Python, C, C