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interdisciplinary by nature combining elements of its contributing sciences to solve challenging problems in a data-based, empirical approach. The PhD programme in Data Science (PDS) targets PhD students that work in
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memory chips! By merging logic and memory elements, costs and the required wafer area can be minimized and, above all, energy efficiency and speed can be maximized. Specifically, in this project we
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For fellowship holders: Monthly salary contribution (3040 EUR gross for PhD, 5080 EUR gross for post-doc level) Monthly mobility allowance (600 EUR) Family allowance (660 EUR) Special needs allowance (upon demand
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and High-Frequency Techniques International elements International guest lecturers Specialist literature in other languages Language training provided Training in intercultural skills Courses are led
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 4 days ago
(oliver.hopt@gesis.org ). If you have questions about the application process, please contact Franca Tosetti via E-Mail (franca.tosetti@gesis.org ). Interested? Please apply via our Online-application portal
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: Scientific / postdoctoral posts Starting date
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committed to the compatibility of family and working life. Where to apply Please send your application with meaningful documents in electronic form (combined into one file in PDF format, max. 6 MB) by 06
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://mediatum.ub.tum.de/doc/1687691/ltbbjgwihiht96fqfeblxdyj7.ITSC22_CommonOcean.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines
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elements International guest lecturers Integrated/optional study abroad unit(s) Specialist literature in other languages Integrated/optional study abroad unit(s) Doctoral students will spend at least one