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related field. Experience with research activities. Research experience in a laboratory setting. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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scientists and companies working in liposome technology, cell-free protein production, sensor development, clinical nephrology, and medical decision-making. Where to apply Website https
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of the central nervous system, namely the role of the hippocampus in memory, in the context of events and emotions; c) knowledge of cognitive psychology, cognitive maps and the role of grid cells and place cells
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experimental and computational approaches in high-throughput single-cell transcriptome and genome profiling to address fundamental questions in biomedical research: https://tabaka-lab.org Where to apply E-mail
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sub-area of Biotechnology Applied to Health, the opening of this call comes under the Projet “Gradient bioprinting of smart cell-instructive biomaterials for osteochondral repair”, Projeto n.º 15836
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, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty
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of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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viscoelasticity for cell culture, Rheological characterization of glioma and brain tissues as well as hydrogel systems, Microscopic imaging and measurements of traction forces generated by glioma cells cultured