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the experimental results. - IR laser spectroscopy experiments - Quantum chemistry calculations - Analysis and communication of results The postdoctoral fellow will work within the SYSIPHE team at the Orsay Institute
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the numerical simulation group - Creation of microfluidic circuits -Preparation of red blood cell solutions from EFS blood -Endothelial cell culture -Take part to the soundibg rocket experiments with ESA
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libraries (which will be transcribed into mRNA) using cutting-edge molecular biology methodologies. - Adaptation and use of a microfluidic droplet screening pipeline dedicated to mRNA analysis. The recruited
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biology as well as epigenetics. Prior experience in cell culture is essential. Additional experience in hematology and highthroughput data analysis would be an asset. The candidate is expected to work
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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researcher will join the bioinformatics team at the MMSB Laboratory (UMR 5086; MOMS team). Responsibilities: (1) computer simulations as part of the SELDOM project, focusing on interactions between lipids and
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Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
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of the "CAReS-PSy" project (Childhood Adversities, functional Respiratory Symptoms, and vulnerability for Persistent Symptoms). "CAReS-PSy" is a research project funded by the French National Research Agency (ANR
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Work Package 4 that aims to integrate heterogeneous data acquired through Work-packages 1 to 3 and decipher genome–phenome relationships, working in close collaboration with a PhD student working on
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Analysis of Pattern Learning and Extraction (MAPLE) PI: Dr. Bruno Loureiro We invite applications from highly motivated, independent, and creative postdoctoral researchers to work on the theory of feature