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Field
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Deadline 31 Jul 2026 - 00:00 (UTC) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 hours per week Is the job funded through the EU Research Framework Programme? Not funded
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Response or Security Operations organization. Demonstrated technical proficiency with modern computing hardware, software, and networking technologies. Experience conducting research and publishing academic
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valuable: Applied microeconometrics Health economics Environmental economics Global health Planetary health Climate change and public policy Labour economics Experience using statistical software such as
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and chemical processes. You are familiar with programming languages and computational tools. Expertise in a particular software package is not required, but experience with one or more computational
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37 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The University of Twente (UT) is located in the east of the Netherlands. It
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
16 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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. Experience with embedded systems, real-time computing, hardware-software co-design, FPGA development, or hardware-accelerated computing will be considered a strong advantage. Familiarity with efficient
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the cluster's ML/AI and research software engineering hires on pipeline handoff, making sure imaging outputs and atlas-mapped datasets meet downstream computational needs. Partner with the cluster's behavioral
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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel