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Infrastructure? No Offer Description The PhD researcher will ● carry out fundamental research on active sensing “at scale” with the view of increasing the applicability of event-vision sensors to robotic control
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exploring various architectures and unsupervised learning techniques to identify anomalies and diagnose specific fault types based on processed sensor data (e.g., vibrations, currents). Edge device deployment
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calibration, electronics (e.g. image sensors), … PhD applicants should hold a MSc degree in astrophysics, physics, or engineering, or have obtained an equivalent diploma. Proficiency in English is required
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pathways. Your Responsibilities Design and implement analog/digital electronic circuits for sensor read-out Create schematics and PCB layouts (Altium, KiCAD, etc.), solder and assemble circuits Test
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. covering aspects such analog lumped-element circuit modelling and simulation, PCB design) and on a system integration level (e.g. covering aspects such as interfacing, analog-to-digital conversion, sensor
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. A mathematical model will be created to link ethylene biosynthesis to its perception and signaling. The model will be validated using advanced sensors. Job requirements You will quickly develop skills
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construction, such as digital twins, metaverse, BIM, sensor networks for tracking data or tracing structural components and construction robotics. These will be data-driven and explore the opportunities deriving
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project: Optimizing high-resolution geophysical imaging with novel sensor platforms. You will devote a minimum of 90% of your assignment to scientific research as part of doctoral dissertation preparation
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, with publications in high-impact journals. Excellent writing and communication skills in English аrе key assets. Expertise in bio- and/or photoelectrochemical sensor development is a plus. What we offer
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monitoring disturbances from both satellites and ground-based sensors. The latter is expected to contribute to the further development of the pylidar repository. This PhD project will be promoted by prof. Kim