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observed in experiments. A numerical framework involving a 3D Voronoi tessellation (Neper) and surface energy minimization using the Surface Evolver software has already been developed in the laboratory
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biomarker analysis. Experience in stem cell-based (especially iPSC-derived neurons) models is considered to be an advantage. Experience with lab automation (BeckmanCoulter SAMI software) Ability to conceive
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displacement field, and therefore the deformation, on the surface of the sample in contact with the confining wall. UFreckles DIC software, developed at GeM, will allow the monitoring of flows and deformations
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Sujet de stage As a member of a multidisciplinary technological research team comprised of experts in software/hardware analyses through the application of formal methods, you will actively contribute
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with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a