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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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are invited to develop projects that bring developments in at least two different world regions together. At the same time, a historical approach is related to systematic-analytical categories from the social
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Topic: The rapid advancement of digital health technologies presents unprecedented global opportunities and challenges in public health and healthcare, data management and analytics in prevention
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options, epidemiology and associated risk factors of a healthy cardiovascular system. In addition, it provides an understanding of basic research methods, analytical tools for cardiovascular studies and
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biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data processing and analytical chemical analyses
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31.03.2025, Academic staff Scientist with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass spectrometry Our team is looking for a Staff Data
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areas complementary for system development; programming skills are an advantage Excellent analytical and language skills, team spirit, and passion for system development, and scientific work Excellent
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of novel catalysts by electrochemical flow cell measurements that will be coupled to on-line analytics (c.f. https://www.nature.com/articles/s41563-019-0555-5). Specifically, an in-house designed flow cell
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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience
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resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis (e.g. econometrics