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Field
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learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance
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year), 2.334 € (until the end of the project). End of the project: 31/08/2028 Selection process Applications must be submitted within the established deadline and accompanied by the following
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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the mechanisms of sorption and diffusion; (iv) to establish relationships between molecular structure and adsorption properties; and finally (v) to combine experiments and simulations to predict the performance
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• Research experience (electron devices) 40 • Programming skills 20 • Experience in compact modelling, neuromorphic circuit simulation 25 • SPICE simulation experience 15 Selection process A single curricular
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) Consent to the processing of personal data for the purposes of the competition https://wppt.pwr.edu.pl/pracownicy/konkursy/wymagane-dokumenty-konkurso… Additional comments Research group webpage https
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about the position, please contact: daniel.nieto@udc.es Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/004225 Requirements Research FieldChemistryEducation LevelPhD
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This doctoral position is part of GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), a prestigious Horizon Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN): https
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: LRGP (University of Lorraine – CNRS), LPSM (Sorbonne University – CNRS), the utility EDF R&D, and the process simulation software provider Fives ProSim. PHD DESCRIPTION: The PhD is part of Work Package 3
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, 057701 (2022). Where to apply Website https://insa-rennes.nous-recrutons.fr/poste/ps4l4dbjoo-contrat-doctoral-heteros… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills