264 algorithm-development "https:" "Simons Foundation" Postdoctoral positions at CNRS
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to the development of an innovative microphysiological system dedicated to modeling human beige adipose tissue organoids in a controlled metabolic environment. The candidate will design and implement advanced 3D
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, including the development of a unique training approach for HL-LHC and SKAO staff focusing on the use of large scale cyber-infrastructures, supported by SLICES-RI, as well as enhanced interactions with
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the formation of wrinkles • conducting experiments • analysing results • developing a model to report on the results • publishing one or more articles on the analysis of data collected during the project. It is
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biology approach and experimental evolution in fission yeast, we recently demonstrated that the initial volume of a cell can be a determinant of its evolutionary trajectory in challenging conditions. Indeed
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the "Quantum Nanostructures and Topological Matter" ("Nano") group at LNCMI Toulouse, which consists of five permanent scientists. This project strengthens and develops a local collaboration between three labs
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synthesis and molecular self-assemblies, namely that they will be asked first to develop new synthesis strategies in the host research group: compared to previous work, a first problem will be to introduce
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at the IJM. This recently created team studies ancient genomes to better understand human evolution and its implications for biology and health. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description There is a need to develop optimized Mixed Matrix Membranes (MMMs) based on highly
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York, USA). Within the framework of the EICROC project (development and characterization of a large size ASIC, 32x32 channels, dedicated to the readout of AC-LGAD sensors), the successful candidate will
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The main mission is to develop quantitative approaches to dimensionality reduction for the analysis