585 structural-engineering-"https:" "https:" "https:" "https:" "https:" "Washington University in St" PhD positions in Germany
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. Collaborate closely with an experimental enzymology PhD student to validate your models in the lab. This is an excellent opportunity to contribute to the future of enzyme engineering, bioinformatics, and
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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM
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programmes: any time Application deadline 15 January, 15 May and 15 September of each year See the website for details: https://medical-neurosciences.charite.de/en/application_admission
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as
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from the various offers and activities. A list of potential PDS supervisors is available from https://www.uni-goettingen.de/en/577092.html (choose “Data Science” as the programme in the drop-down menu
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Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty
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in living adaptive networks Biophysics: High-resolution structural and mechanical studies of molecular motor proteins at the nanoscale Required Documents Required Documents CV Certificates Motivation
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 13 hours ago
Dresden University of Technology Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time
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Studies Museum Studies Course language German French English Financial support Yes Structured research and supervision Yes Research training / discussion Yes Career advisory services and programmes
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, predict, and manage them remains fragmented across disciplines. The Understanding and Predicting Impacts of Climate Extremes under Global Change Doctoral Network (CLIMES DN) (https://www.climes.se/climesdn