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software such as SPSS, Stata, and/or R is required. Research experience, a research master’s degree, pre PhD program, or command of the Dutch language is a plus. You are able to work independently but also
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and statistical software Disseminate the research in conferences and other relevant events. Your qualities Essential We are looking for someone with a background in one of the following disciplines
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will Conduct high-quality methodological research in the field of small area estimation Write academic articles, blog posts and statistical software Disseminate the research in conferences and other
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(such as data annotation, online content creation, or software testing) provide chances for social enterprises – i.e. mission-driven business that prioritize societal impact above maximizing profit, such as
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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of these systems, holistic system‑level design automation is the logical and necessary next step. Achieving this requires moving beyond domain‑specific solutions by integrating mechanical, electrical, software, data
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theses and research working groups Desirable qualifications: Good knowledge of modern statistical analysis methods and experience with relevant software packages (e.g. SPSS, R, MATLAB) Initial experience
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strong interest in systems and control, model predictive control, and energy systems. Some experience in basic software engineering and implementation of algorithms in real-world experiments or industrial
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completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation
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of Cologne (6 months), and at the optimization software company MOSEK (1 month) in Copenhagen. At the University of Cologne, the secondment will be supervised by Professor Frank Vallentin. The CentER graduate