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scientists. You will contribute to the top scientific experiments, will obtain practical experience, improve your soft skills (presentation, communication, language, etc), learn the strategies of data
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physics, and dynamical imaging in all areas of science covering physics, chemistry, and biology. The program offers exciting research opportunities at ultra-intense electron and X-ray sources to directly
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around the globe and are delighted to offer them the ideal environment for advancing their scientific careers. The IMPRS-BAC graduate program provides interdisciplinary training for doctoral candidates
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standards every day, we are looking forward to your scientific expertise at the Department of Nephrology – ideally with you on board! Background: Over 100 million people worldwide suffer from kidney diseases
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Individual scientific supervision and active collaboration in a well-networked project consortium Possibility for international visibility through presentations and publications A structured PhD program with a
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labs) Intensive scientific supervision and interdisciplinary collaboration within the project consortium Opportunity to pursue a PhD in cooperation with a German university A structured PhD program with
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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. Collaboration between students and researchers at the partner institutions is facilitated through a lively exchange program. The professional training of students includes data science as a supporting component
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willingness to work in a team and to network with scientific institutes and industrial partners, as well as confidence in the use of standard MS programs and a good command of written and spoken English.
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity