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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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Apply and key information This project is funded by: Department for the Economy (DfE) Summary The transition to net zero presents both an opportunity and a challenge for Northern Ireland’s housing
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details. Familiarity with electrical and power systems, energy storage systems, EV charging systems, test & measurement instruments, sensors/sensor networks, and PLC systems is preferred. Prior experience
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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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-binding domain and leucine-rich repeat (NLR) genes play important roles as the sensors/receptors of non-self molecules and in activation of immune responses such as transcriptional reprogramming and cell
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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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the observed data. The models can build on recent research results in foundational neural network models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/287578/phd-research
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), centered around the development of cutting-edge optomechanical sensors. The position is embedded within QSTeM, a recently established Testbed for mechanical sensing, where novel sensors are designed
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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
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solutions, the ENGAGE network brings together top machine manufacturers (Volvo CE, Liebherr, Ponsse, AGCO), tech leaders (Bosch, Bosch Rexroth, Novatron, GIM Robotics), and six leading academic groups across