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research areas. New insights and synergetic effects resulting from collaboration between inherently different viewpoints of separate fields typically accompany this endeavour. Our task force on machine
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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screening (Ulrike Haug), prevention and implementation science (Hajo Zeeb, Daniela Fuhr), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot
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Established record leading publications A collaborative approach and ability to work independently Experience with interdisciplinary methodologies and the integration of different data sources is preferred
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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
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different backgrounds (medicine, veterinary medicine, biology, biochemistry and biotechnology) with a uniform basis on which to build in subsequent semesters. In the second to fourth half-year modules
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thesis and a final exam. The first semester concentrates on the fundamental principles of immunology, microbiology, virology and cell biology, providing students who come from a range of different
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doctoral fellows University location Located in Northern Bavaria, it is easy to travel to and from Bamberg using many different means of transport. For those travelling by car, the city can be reached from
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research