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photolithography, 3D printing and multiphoton lithography, together with innovative biomaterials. These models will be used to investigate, through advanced microscopy and quantitative image analysis, how
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the production and dissemination of a film presenting the project. Supervision Prof. Radouane EL YAGOUBI – Neuroscience, CLLE Laboratory Dr Amel AISSAOUI – Signal Processing, IRIT Laboratory Contact Prof. Radouane
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18 Sep 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline
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of instrumental systematic effects, as well as comprehensive modelling of the astrophysical signals that are superimposed on the cosmological signal. One of these signals arises from the interaction between photons
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. Experience in conducting experimental work (experimental internship) 2. Basic understanding of magnetohydrodynamics 3. Knowledge of Python programming 4. Experience in signal and/or image processing _Personal
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. Anomaly Detection and Fault Diagnosis using Frugal AI • Selection, feature extraction, and construction of relevant indicators from electrical signals and supervisory data. • Study of signal processing
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become part of a laboratory that covers a wide range of fields, from statistical physics to hydrodynamic turbulence, including mathematical physics and signal processing, as well as soft and condensed
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, leading to a unified methodology that transforms the Ti³⁺ signal from a qualitative fingerprint into a quantitative indicator of carrier mobility and lifetime, applicable under vacuum, under operando
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of the observer's position in local time, but also as a function of the season on Jupiter and solar activity, will make it possible to place strong constraints on the mechanisms of activation and
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an indicative bibliography. The project must include a title, context of the subject and state of the art, problem statement, objectives and proposed place(s) of investigation, methodology and timetable (max