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on existing design documents for ELT instruments. You define, install, and maintain the network infrastructure needed to connect software and hardware during instrument Assembly, Integration, and Testing (AIT
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on existing design documents for ELT instruments. You define, install, and maintain the network infrastructure needed to connect software and hardware during instrument Assembly, Integration, and Testing (AIT
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
. Possible tasks will be: · Assist in expanding our software simulating breeding programs in different species. · Create simulation tools (e.g. R-package) for estimating economic values. · Simulation
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benefits, including defined contribution plans and voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed
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: The objective of this project is to develop resource management and Open RAN slicing solutions for eMBB and URLLC applications with control for immersive applications in Software Defined Radios (SDRs) with
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this gender political gap. The project aims to combine survey data on political opinions and spatial data on mobile network access across Europe, employing cutting-edge empirical methods to establish causality
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 13 days ago
Researcher (R3) Application Deadline 16 Apr 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 15 May 2026 Is the job funded through the EU Research
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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, and cyber-resilient operation of distribution systems and networked microgrids. The successful candidate will contribute primarily to the control and cybersecurity thrusts of a multi-institutional
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learning for scientific applications, including hands-on experience with neural network architectures (e.g., CNNs, autoencoders, physics-informed or hybrid models) and modern frameworks such as PyTorch