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), which is sliced, stained, and ultimately examined by a specialist to diagnose its cancerous nature. This process is time-consuming (1–24 hours) and hinders optimal patient management during surgery or
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(Process, Voltage, Temperature) robustness and integration into real-world detection chains. The thesis will culminate in the fabrication of an ASIC prototype and its experimental characterization (ENOB, SNR
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areas: AI/ML, image processing, molecular modeling and docking Strong experience in Python and C++ programming (knowledge of Fortran is a plus) Strong interest in interdisciplinary research bridging
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be evaluated for lung diseases imaging which are still challenging to diagnose and treat, despite advancements. We will carry out preclinical studies to evaluate the contribution in combination with
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areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging
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image processing and/or data analysis. Proficiency in Python programming. Specific Requirements Full time and on-site within the LISTIC laboratory. Internal Application form(s) needed Offre emploi POST
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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to identify, map, and measure in airborne and satellite images of the Earth, the natural and socio-environmental hazards and risks studied in IRIMA(earthquakes, tsunamis, volcanic eruptions, landslides
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
the left atrial appendage. Second, CFD simulates high-resolution hemodynamics but requires patient-specific geometry, wall mechanics, and boundary conditions, as well as demanding advanced imaging and
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community (cryosphere, geophysics) with good knowledge of image processing and off-the-shelf AI tools, or from the signal/image/AI community with experience in applications related to Earth observation