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the form of a doctoral thesis. In addition, specialised courses and seminars taught in small groups equip young researchers with useful knowledge and skills. Technical and practical modules are offered in
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knowledge and innovation. The university's commitment to excellence is reflected in its diverse range of faculties, including Biology, Chemistry and Pharmacy, Human Sciences, Catholic Theology, Mathematics
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and its epistemic effects in forest research” seeks to enhance the understanding of how dimensions of inequality in academia intersect and impact on knowledge production, using forest science as an
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in
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are necessary to complete the task. If you hold a diploma or Master's degree in Computer Science or Engineering, possess a sound knowledge of applied informatics and want to join a highly motivated research group
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economy (in the fields of agroecology and financial inclusion) Cluster 3: Partnership in knowledge production (Eurocentrism, alternative knowledge and Post-Development) Smaller peer groups will be built
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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or Engineering, possess a sound knowledge of applied informatics and want to join a highly motivated research group, please submit your application including all relevant documents (curriculum vitae, copies
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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies