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to cutting-edge facilities and interdisciplinary collaborations. Mentorship and career development support, including networking and grant-writing opportunities. How to Apply Please send a single PDF including
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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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of genetic networks Interplay between chromatin architecture and gene regulation Candidates will use a combination of skills in molecular and developmental biology, instrumentation and data analysis to answer
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Our laboratory has one position available for postdoctoral fellow in the area of Cancer Biology and Microenvironment. We are interested in mechanisms of tumor initiation and resistance, with an emphasis on tissue long lived cells such as stromal cells, and their crosstalk with tumor cells,...
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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
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Your Privacy When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually...
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Hyperspectral imaging methods to study cell states in tissues and tumors Institut Pasteur, Paris France The Imaging and Modeling Unit at Institut Pasteur is looking for a highly motivated postdoc
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Job description We are recruiting 2 postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The postdocs will develop
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embodied neuroAI. Led by Jean-Baptiste Masson (DR, theoretical physicist), with deputies Christian Vestergaard (CR), Alex Barbier-Chebbah (CR), and François Laurent (IR, applied mathematician and software
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-responsive behaviour tasks using tasks that mimic biological learning principles and neuromodulation. Artificial neural networks with biologically-inspired dynamics will be trained and progressively pruned