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and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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network congestion. Particular attention is given to the influence of user behavior, including mobility patterns and building occupancy, on the management and operation of distribution networks. Mains
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analytical and bioinformatics tools to analyse and interpret data To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental
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chemistry, bioinformatics, or a related field §you have mastered molecular modeling techniques, machine learning algorithms, and programming languages like Python §you are highly collaborative, with excellent
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life science environment, and have backgrounds in any of the following fields: cell or developmental biology, immunology, neurobiology, biophysics, theoretical physics, computer science, bioinformatics
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | about 2 months ago
). It hosts several scientific teams covering several topics (climatology, fluid mechanics, parallel algorithms...) among which the CFD (Computational Fluid Dynamics) team is the largest. The main fields
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bioinformatics. The main responsibilities include: High-throughput sequencing: Applying long-read sequencing technologies (Oxford Nanopore) to quantify DVG populations in cells and virions without PCR bias (Direct
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the genetic material of incipient species can dissolve species boundaries, a thorough comprehension of the evolution and regulation of meiotic recombination during the speciation process is central to our
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analytical and bioinformatics tools to analyse and interpret data - To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality