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. This postdoctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological
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diverse non-model organisms, such as Asgard archaea and microbial eukaryotes, using a combination of cryoET, cryoEM and complementary imaging techniques. For examples of our work, see https
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a challenging problem. Candidate profile PhD on optimization and/or image processing. Strong background in applied mathematics, image processing, learning methods and algorithms. Good coding skills
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. This position offers a unique opportunity to contribute to cutting-edge research in medical imaging while actively engaging in teaching and mentoring students and trainees. The ideal candidate will possess a
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approaches (overexpression, invalidation), transcriptomics (bulk RNAseq, single cell RNAseq), biochemistry and imaging, as well as bioinformatic analyses. This project should enable the identification of key
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning
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biology OR virology A solid background in virology, transcriptomics and imaging Hands-on experience with experimental animal and/or iPSCs models Technical expertise in working in BSL-3 environment A
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live in. Your role The successful candidate will support innovative research on 3D models and Calcium imaging: Conduct wet-lab research in melanoma, including the use of 3D models Document performed
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? How can minimally invasive, bioorthogonal click chemistry-based labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics
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super-resolution methods, including live-cell imaging Supporting daily laboratory operations, such as maintaining inventories, ordering supplies, organizing samples, and general laboratory upkeep Your