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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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advanced sensing modalities, highly optimized embedded AI workloads, and custom hardware platforms to enable robust, realworld perception. To drive this initiative, we are hiring a Senior SensorFusion
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tool intended for use by transit agencies to assess and optimize the battery life of battery electric buses. Research Technician 4 will support documenting and summarizing test results; may assist with
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to renewable energy sources. Thermodynamic cycles (power generation cycles, refrigeration cycles, heat pumps) play a central role in this transformation, but their optimal design remains a complex scientific
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Lexington, KY Grade Level 14 Salary Range $81,328-156,062/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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in the field of systems vaccinology. The candidate will also be involved in the development of mathematical and statistical models to optimize vaccination strategies. Requirements Additional
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to leverage machine learning approaches for the optimization of polymer properties and degradation profiles. The successful candidate will lead pioneering research in controlled polymer synthesis, employing
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and novel biosensing strategies, with the aim of creating new diagnostic tools for liquid biopsy. You will be in charge of: - developing a new version of an optofluidic fiber optimized for plasmonic
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 20 days ago
position within a Research Infrastructure? No Offer Description Job Summary/offer: To optimally use the resources in veterinary care, it is important to capture, preprocess, and model the existing data
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298563/phd-research-fellow-in-control-and-optimization-for-multi-agent-uav-systems Where to apply Website https://www.jobbnorge.no/en