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English. Willingness to contribute towards an empirical project. Ability to speak and understand German and/or French.) Excellent knowledge of research methods and statistics; ideally you are familiar with
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of solutions, valorization and publication of results.This computer science thesis is part of a multidisciplinary environment involving researchers in demography, geography, statistics and computer
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. The department offers study programs at all levels within the areas Mathematics, Statistics and Physics. The department is responsible for all basic tuition in mathematics, physics and statistics
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will be predominantly conducted in English. Experience in broad areas of expertise, including machine learning algorithm development, statistical methods, distributed learning, and cybersecurity, is
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, electrical engineering, applied mathematics, mathematical statistics, or in a similar field, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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the technological procedures in question. The obtained results will be statistically evaluated and scientifically interpreted. The result of the work is the optimization of vegetable frying processes in terms
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included in the application. The perfect candidate has a strong background in computer science, programming, data analytics (statistics and/or machine learning) and/or data security. Applicants must document
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the information for anonymous statistics. We offer Involvement in an interesting research project Good career opportunities A good academic environment with dedicated colleagues Flexible working hours and a state
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about statistical and machine learning knowledge about gene editing techniques, e.g. CRISP-Cas he/she should have experience in bioinformatics, including next generation sequencing pipelines, data
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high international level. Our aim is to meet the society’s needs for mathematical and statistical expertise in business and public administration as well as in the research and education sector