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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days ago
Researcher (R1) Application Deadline 11 Mar 2026 - 22:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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long-term campus needs Lead and manage the retro-commissioning (RCx) program for campus facilities, coordinating internal teams and external contractors to identify control issues, optimize sequences
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Position Details Position Information Job Title Computer Vision Developer Appointment Type Student Employee Job Location Corvallis Position Appointment Percent 100 Appointment Basis 12 Pay Method
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system ensuring optimal health care experience for our dental patients and students. For accessibility assistance, please contact the Accessibility Help Line at (614)292-5000. The Patient Revenue Cycle
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a design-technology co-optimization (DTCO
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University of California, San Francisco | San Francisco, California | United States | about 7 hours ago
customer service and ensuring the seamless flow of information between medical professionals, hospital staff, and various departments to optimize unit efficiency. To see the hourly range for this position
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the AliceVision library. Activity 3: Critical Code Optimization (C++/CUDA) - Adapt the code to drastically reduce computation times (target: < 1h). - Replace proprietary dependencies (InstantNGP) with a flexible
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Hours Per Week 35 Offer Starting Date 16 Jan 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number Funding from Compete 2030, by Portugal 2030, and
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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quantum chemistry to logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both