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; performing installs, configurations, and updates to computer operating systems and software on University owned IT hardware; transport and deployment of IT hardware including desktop computers, monitors
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7 Apr 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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epidemiology and biology of infection with start date 1 September 2026, or as agreed. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Data driven
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | about 2 months ago
across tiles, and validating the results on representative hardware platforms. Where to apply Website http://www.unibo.it Requirements Additional Information Eligibility criteria to apply for research
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based
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our community of lifelong learners and contribute your skills to this critical program. At Purdue, you'll find unrivaled pride and unlimited potential as we persistently pursue the next giant leap
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) Established Researcher (R3) Application Deadline 3 Apr 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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(composite cables, Cat5e/6, coaxial, fiber optic) in accordance with project requirements. Mount, connect, and calibrate security hardware, including cameras and card readers. Program security systems such as
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, classroom, and lab environments. Provides technical support and help functions that relate to computer hardware and software, data communications, and connectivity. Distinguishing Career Features The IT User
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, spike-based computation, and attention-inspired mechanisms can be combined to achieve accurate and timely predictions while explicitly considering hardware constraints, including latency, memory usage