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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
management functions of the Facilities Services division. This position also manages the strategic, capital, and financial planning and budgeting for Energy Services, which is a receipt-supported enterprise
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energy services, fostering a culture of excellence while effectively stewarding university resources and the environment. If you would like to learn more about UES, please visit: https://utilities.tamu.edu
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-cell signaling in real time. You will integrate these platforms with optical readouts and image-based assays, and apply them for single-cell quantification of receptor activation, cell–cell communication
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 9 days ago
domain-specific accelerators. RISC-V mesh-of-tiles platforms with vector units offer a scalable, energy-efficient foundation for ML inference and signal processing, but scaling edge AI efficiency still
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out to discuss potential proposals. (1) https://www.biorxiv.org/content/10.1101/2025.02.18.638308v1.full (2) https://www.nature.com/articles/s41598-024-57981-4 Microbiology; Cell Count; Enumeration
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Job Title Utilities Data Analyst Agency Texas A&M University Department Utilities & Energy Services Proposed Minimum Salary $5,435.28 monthly Job Location College Station, Texas Job Type Staff Job
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Skip to main content Recruit Home Open Recruitments Assistant Specialist (Senior Energy Analyst) - 2035 Initiative, Institute for Energy Efficiency (JPF03042) Assistant Specialist (Senior Energy
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to the research mission of the laboratory by supporting studies focused on the dynamic regulation of cell signaling, cell-cycle progression, and adaptive cellular responses in normal and disease contexts. The lab
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Study of integrated technologies and systems for electrical energy storage
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: The objective of this task is to develop a decision-support model to assist in the selection of diagnostic and prognostic algorithms by jointly optimizing energy and computational costs. Two goals are pursued: (i