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, as part of the ANR DendroGABA project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3212-ANTVAL-004/Candidater.aspx Requirements Research FieldNeurosciencesEducation LevelPhD
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8002-MARWEX-007/Candidater.aspx Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Research FieldPsychological
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deployment of IoT solutions for environmental and energy applications. Solid knowledge of embedded electronics and microcontrollers (Arduino, ESP32, Raspberry Pi, etc.). Expertise in developing sensors for air
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microcontrollers (e.g., Arduino). Analysis and processing of biological signals Development of algorithms in Python for real-time signal processing. Extraction and analysis of multi-signal cross-frequency coupling
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work on spectroscopic detection and associated transduction measurements. - To assemble the source, transducer and detector. - To implement an Arduino-based control system as part of the supervision
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the design and build of a suite of sensors (e.g., temperature, CO2, humidity) and feedback control systems using open-source, low-cost, arduino based platforms. The research assistant will work closely with
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: ● Automate coagulant dosing and water and gas flows in AguaClara treatment plants. ● Calibrate, test, and iterate the design of a next-generation turbidity meter (Arduino-based with radio communication to a
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, and iterate the design of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). ● Develop and validate calibration methods for new sensors for turbidity and
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prototyping tools to accelerate system development and optimization (e.g., 3D printing, laser-cutting, CNC machining); Programming skills in a variety of languages (e.g., MATLAB, Python, Arduino) is highly
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview