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29 Aug 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Computer engineering Engineering » Precision engineering Physics » Computational physics Physics » Metrology
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deep-learning and 3D computer-vision models that detect features while representing a distribution of plausible interpretations. Encode geological relationships in a knowledge graph that stores
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delivery of assigned Thrust 3 milestones and outputs. Job Requirements: PhD in Electrical or Electronic Engineering, Computer Science, Computer Engineering, Cybersecurity, Applied Cryptography, or a closely
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): Understand hydrologic and water quality data and analysis techniques Skills working interdisciplinarily. Equipment Knowledge: Must be comfortable working on a computer Standard office equipment Preferred
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of offers available1Company/InstituteDepartment of Computer ScienceCountryAustriaCityInnsbruckPostal CodeA-6020StreetTechnikerstraße 21 a Contact City Innsbruck Street Technikerstraße 21 a Postal Code A-6020
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procedures provide guidance to students regarding exam processes, including those utilising computer programs to conduct examinations supporting students who require adjustments to fully participate in
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for candidates with particularly strong expertise in programming, scientific computing or signal processing. LanguagesFRENCH LanguagesENGLISH Research FieldEngineering » Computer engineeringComputer science
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develop techniques to tackle the dynamics of these systems both in imaginary and real time. The latter will form a quantum inspired quantum computer emulator that should be able to tackle large systems
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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty