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We are Austria’s largest research and technology organisation and an international player in applied research for innovative infrastructure solutions. This makes us a powerful development partner for industry and a top employer in the scientific community. Our Center for Energy is seeking to...
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model tests on granular flows.PhD position 2# is supported by an Advanced Grant of the European Research Council (ERC). The ideal candidate will focus on constitutive modelling and numerical simulations
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
mechanical stability. You will support data acquisition and sensor setup for temperature profiling, model calibration and validation. You will apply multi-physical numerical modeling to develop 3D coupled
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on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. Drawing on a strong background in software engineering, data analytics, and machine
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, support for the “Klimaticket” (climate ticket), discounts at the USI (University Sports Institute) and the Language Center, numerous corporate cooperations Diverse Continuing Education Offerings: i.a
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,• orchestration and usage of services,• data streams, data management and data pipelines• scalable runtime systems• scheduling and optimization for runtime, latency and throughputfor Cloud and Edge
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Transfer as well as by a supervisor and advisor from AIT. What to expect: EUR 2.786,10 gross per month (14 times / year) for 30 h / week. In addition to numerous events, seminars, networking opportunities
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institutions. PhD topic: Numerical simulation techniques for the analysis of arrays of RTD oscillators Further details on the doctoral programme and the individual PhD topics can be found here . The aim
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, Edge, IoT)• Scheduling and optimization algorithms• Data streams, data management and data pipelines• software engineeringExpert programmer• Java• at least one other programming languagePractical
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. The research aims to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production