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14 Mar 2025 Job Information Organisation/Company CNRS Department Institut d'électronique, de microélectronique et de nanotechnologie Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 3 Apr 2025 - 23:59 (UTC) Type of...
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friction models. Integrating Experimental Data: Collaborate with experimental teams to incorporate data from calcium imaging, confocal microscopy, and high-resolution video recordings. Use experimental data
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. Collaborate with people with diabetes, diabetologists, software engineers, and clinical psychologists to develop and validate prototype tools. Contribute to qualitative and mixed-methods research to ensure user
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Description of the offer : During this PhD thesis, we propose to explore the properties of exotic antiferromagnetism, in non-collinear antiferromagnets like Mn3Sn or in altermagnets. We will image
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). The Schnorrer team is expert in muscle biology and in vivo imaging. Objectives 1 and 2 will be carried out in Marseille. The group is part of the Turing Centre of Living Systems (Centuri), which brings together
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done using semiconducting materials, with transistors performing logical operations (“NOT”, “AND” etc.). A new paradigm proposes to use magnetic materials to perform these operations, by en-coding
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number of techniques routinely used in the lab including histology, confocal microscopy and image processing. Prior expertise in cell culture, image analysis and coding would be highly appreciated. Part of
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a broad range of disciplines, including Molecular Biology, Cellular Biology, Developmental Biology, Genetics, Genomics, Bioinformatics, Microbiology, Structural Biology, Advanced Microscopic Imaging
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masking. The research spans multiple levels, from the activation patterns of retinal cone cell ensembles (studied using adaptive optics imaging techniques) to the resulting visual appearance (measured with
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: Programming in Python and/or R Data science (e.g., tidyverse, pandas) Machine learning (e.g., scikit-learn) Deep learning (e.g., PyTorch, Keras3) (Optional) bio-signal processing and brain imaging (e.g., EEG