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at scientific symposia. Excellent knowledge of the English language. Advanced computer skills. Probation period: 4 months. Applicants for the post of senior assistant ought to have been engaged in scientific
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for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1
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engineering Engineering » Computer engineering Engineering » Control engineering Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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2026 - 12:16 (UTC) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 1 hour ago
Degree PhD Course location Kaiserslautern Teaching language English Languages Discussions are held in English (100%). Programme duration 8 semesters Beginning Only for doctoral programmes: any time
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content Please check our website for details: https://www.uni-goettingen.de/de/training+program/636453.html Course
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Computer ScienceCountryGermanyCityGreifswaldPostal Code17489StreetWalther-Rathenau-Str. 47Geofield Contact City Greifswald Website http://www.uni-greifswald.de/?L=1 Street Domstraße 14 Postal Code 17489 E
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that developments are well understood and embedded. To apply electrical/electronic design skills to create a prototype including circuit analysis, computer aided design and complex simulation tools, e.g. MATLAB/SPICE
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25 Feb 2026 Job Information Organisation/Company Universidad de Alicante Department University Institute for Computer Research Research Field Computer science » Computer systems Researcher Profile
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computer models as well as being in the lab. You have affinity with analytical determination of pharmaceuticals in difficult matrices. You are able to dive into topics outside your current knowledge base