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the ANR. PhD student in Graph Signal Processing for the Characterization of Multipolar Electrograms of Persistent Atrial Fibrillation. Responsible for a significant proportion of brain strokes, atrial
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, actuators, energy converters), the development of measurement benches (digital holography, metrology) and the associated signal processing. The candidate will work under the supervision of Dr Pierrick Lotton
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Knowledge of medical imaging Good knowledge of image processing Good knowledge of signal processing Good knowledge of AI for medical imaging Ability to use computer programming tools Ability to use word
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frequent cloud contamination. This scale mismatch prevents a coherent representation of radiative–thermal processes at the urban scale. This PhD will develop physics-informed deep learning models for data
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: skills in instrumentation and experimentation; signal processing and electronics; computer science, C/C++ coding; Familiarity with system dynamics and control; Familiarity with computer graphics, 3D
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- SOI) technology have shown to be excellent candidates for cryogenic temperature operation. Building on our previous studies and most recent results, the goal of this PhD is to implement microelectronic
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analyses of high-throughput sequencing data ● Develop pipelines for analysing selection signals ● Write scientific articles ● Take part in national and international scientific conferences The person
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cellular signaling remains a key challenge in biology and is at the heart of the project. The PhD student will be in charge of the molecular modelling aspects of the multi-scale approaches undertaken by
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) Positions PhD Positions Country France Application Deadline 30 Nov 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Researcher (R1) Positions PhD Positions Country France Application Deadline 30 Nov 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research