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trophic (phytoplankton growth and loss) variables of the Thau lagoon and the Mediterranean Sea (Station 00SETE) in an innovative way using in situ data from high-frequency automated sensors; 2) linking
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: Deep Learning Medical imaging Robot control Preferably, the candidate has experience with: Robotic simulation tools Medical applications Sensors and actuators Scientific writing and presentation
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interventions or neurosurgery. Responsibilities include: Design and construction of miniaturized continuum robotic hardware systems Integration of miniaturized actuators and sensors into continuum robotic
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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, airborne moisture, and mould growth using sensor data. The ultimate aim is to create a robust metric for identifying houses at higher risk and to design practical mitigation options that support tenants
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in field campaigns in Kenya, as well as dissemination and teaching activities. This PhD position is fully funded for 4 years. About the Wildbotics project: Wildbotics is a Marie-Curie Doctoral Network
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encompass a range of microhabitats and environmental gradients characteristic of maritime Antarctica. High-resolution UAV imagery acquired with multispectral, thermal, and hyperspectral sensors will be
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skills in designing advanced neural networks (including Vision Transformers, Graph Convolutional Networks, and Spiking Neural Networks), hardware implementation of algorithms for reconfigurable FPGA
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, Physics , quant-ph , Quantum Science + Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensors , Theoretical Particle Physics , Theoretical Physics, HEP-Phenomenology (hep-ph
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toxic gases emissions of various types of batteries potentially deployed in eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in