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Field
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expertise. In addition, programme participants acquire a certain breadth in the field as they interact with fellow students, participate in PhD training sessions and attend lecture series featuring prominent
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seminars, journal clubs, lectures, and conferences. They learn to present their data to their peers, including those who work in an area unrelated to their own. They attend practical courses in novel
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Description/content Candidates will prepare a doctoral thesis in the field of neuroscience (project duration: four years). Research topics are olfaction, vision and acting, robotics, learning and memory
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members at six schools and departments teach and carry out research in business administration, economics, the humanities, social sciences, law, business informatics, and mathematics. Global Network
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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
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Studies (CeMIS) and the Department of Cartography, GIS and Remote Sensing is integrated in the Interdisciplinary Centre for Sustainable Development (IZNE). The doctoral students learn autonomous scientific
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facilities to doctoral researchers aiming for successful careers in science. Our comprehensive curriculum allows our students to tailor their learning to their interests, requiring them to earn 25 ECTS
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 6 hours ago
analytical skills, teach students how to publish in top journals and enable them to build a strong global academic network. The first two years can also count toward the Master of Business Research and
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doctoral candidates Office for international students (support with administrative formalities), mentor system (individual academic counselling), tutor system (studying in small learning groups), cultural
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts