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their Master's degrees in AI and machine learning. Join AIML's research community and contribute to shaping the future of industrial AI. This innovative program is supported by the South Australian Government
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 7 days ago
Germany Application Deadline 26 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 17 days ago
Germany Application Deadline 17 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 15 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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the EU Research Framework Programme? Not funded by a EU programme Reference Number BIODIV Is the Job related to staff position within a Research Infrastructure? No Offer Description Call open for
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5 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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available in the further tabs (e.g. “Application requirements”). Objective The programme supports students from the Republic of Tunisia. Who can apply? The programme is aimed at applicants with a secondary
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language, in an advanced stage of their Master’s program, with knowledge of the functioning of higher education institutions and/or experience with working in school units. Composition of the selection Jury
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sensors, firmware-controlled automation, wireless connectivity, and maintenance algorithms. Students will design, build, and test smart sanitation solutions that can monitor system performance, optimize