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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 8 days ago
arithmetic cores for FPGAs). The team hosts 6 faculty, 6 PhD students, 3 postdocs, 2 engineer, and multiple research interns. Additional information can be found on team website: https://team.inria.fr/emeraude
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), and advanced high-pressure techniques. Experience with vacuum systems, lasers, spectroscopy, or numerical modeling (e.g., plasma or molecular simulations) will be considered an asset. The candidate will
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diabetes, pancreatitis, and pancreatic cancer—conditions that are epidemiologically linked, though their molecular interplay remains unclear. Pancreatic cancer, one of the deadliest solid tumors with a five
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. Molecular biology (plasmid construction, gene inactivation, etc.) High-density bacterial culture in bioreactors Protein expression and purification Characterization of glycoproteins using a range of
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, technicians, and staff. Each year, many undergraduate and graduate students, PhD candidates, postdocs, and visiting scientists join its activities. Research at LPS covers a broad range of condensed matter
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-permanent staff (doctoral students, postdocs, associate researchers and interns). The ICS has characterization platforms (UV-Vis and IR spectroscopies, size exclusion chromatography, light scattering, etc
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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proficiency with at least one programming language (Perl or Python preferred). Skills in molecular phylogeny are a plus. Other required skills: English (written and oral). Good presentation and communication
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complementary expertise, using both space and ground-based observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and
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macroscopic designs for soft-tissue healing. The project will be conducted using in vitro models of bacterial adhesion and fibroblast proliferation in collaboration with University of Gothenburg and in vitro