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, this PhD thesis will focus on the characterization of multipolar electrograms (EGM) through graph signal processing (GSP). The underlying hypothesis is that local propagation patterns in AF are associated
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understanding of bioprecipitation processes in porous media, with a focus on the spatial distribution of bacterial colonization and the growth of biominerals in contact with the grains. The PhD candidate will
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. Preferred: background and/or experience in microfluidics and image processing. Strong interpersonal skills, teamwork, scientific curiosity, and ability to synthesize information. Where to apply Website https
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, including researchers, faculty members, engineers and technicians, as well as non-permanent staff, including fixed-term contract researchers, postdoctoral researchers, PhD students and interns, distributed
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language processing that address concrete problems and are both theoretically rigorous and interpretable. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments
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Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8180-CLEGHI-002/Default.aspx Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Research FieldEnvironmental scienceEducation
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join the
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acquire in the course of the PhD skills in live microscopy, experimental neurobiology, genetics and behavioural work. The student will receive mentoring and have the chance to guide the research and
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the potential to significantly advance embedded neuromorphic processing for real-time BCI applications. Tasks of the PhD Candidate The PhD candidate will be responsible for designing innovative methodologies
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble