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hybrid physics-based/data-driven approaches. Practical experience in battery testing, parameter identification, and data acquisition. Familiarity with automotive systems, electric vehicles, and embedded
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vehicles, robust control, and experimental validation. The work will be carried out in close collaboration with the partner team at Poli-USP, whose expertise covers robust control, digital control
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first use existing datasets to identify bacterial, host and environmental determinants of E. coli carriage, bacterial diarrheal infections, and AMR gene (ARG) carriage in infants. They will then support
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of employment: 3 Years Hours of employment per week: 40h Responsibilities: Development, characterization, and optimization of polymer recyclates from post-consumer recycling (PCR) and end-of-life vehicles (ELV
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on https://www.heliabiomonitoring.com/publications . The research group integrates laboratory-based and computational approaches for advancing sensor technology and bioengineering. Research is done in close
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(NextGen-Fi). The post will contribute to the development and validation of unique Unpiloted Airborne Vehicle [UAV] datasets. The work will focus on UAV data management, orthophoto optimisation and
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Molecular Biosensing and the Protein Engineering research groups at TU/e (see www.tue.nl/mbx and https://merkxlab.nl/ ). Their fields of expertise on continuous biosensing and protein engineering are
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autonomous system (Autonomous Driving - AD), following the Human-Autonomy Teaming (HAT) paradigm [1], for the longitudinal and lateral control of a vehicle. Assuming the driver remains active and in control
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at CNAM-Paris) and Pierre-Etienne Lévy (lecturer-researcher at ENS-Paris-Saclay). The project aims to study the power quality and electromagnetic compatibility (EMC) of a split battery for a vehicle
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. Douglas Osborne [email protected] All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS Please do not send to listed