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Job related to staff position within a Research Infrastructure? No Offer Description Background CUSTOM is an EU MSCA Doctoral Training Network connecting relevant academic and industrial expertise in
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instruments. Maintain data loggers and sensors that collect continuous environmental data Provide detailed observations of each crop while generating, recording, analyzing and summarizing data. Data Management
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Teaching School : Grenoble INP – ENSE3 School website: http: https
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Avignon, Provence Alpes Cote d Azur | France | 3 months ago
your work in the Plants and Horticultural Crop Systems (PSH) unit. Within this unit, you will controbute the Methods, Concepts, and Assessment of Multi-performance Horticultural Systems (MESH) axis. You
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Chilled Water Plant Posting Number C260030 Posting Link https://www.ubjobs.buffalo.edu/postings/61778 Employer State Appointment Type Classified Appointment Term Permanent/Contingent Permanent Classified
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Entitlement: 33 days annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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, Physics , quant-ph , Quantum Science + Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensors , Theoretical Particle Physics , Theoretical Physics, HEP-Phenomenology (hep-ph
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prevent cyber threats to Mason's business enterprise including network sensors, firewalls, endpoint protection, anti-virus, and security information and event management tools; Lead the Computer Security
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embedded in Work Package 2of the ENDOTRAIN network that will explore the use of nanotechnology-enhanced electrochemical sensors for highly sensitive, selective and reversible biomarker sensing. Specifically