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Join the Antigen Evolution & Design Lab as our first postdoctoral researcher and help define the future of AI-driven antigen evolution and vaccine design. We are seeking a highly motivated early
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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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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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on vaccine responses will be assessed using the optimal mRNA-LNP formulation defined in Aim 1, with readouts focusing on specific B cell responses and antibody maturation. This project should provide a robust
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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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software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both spoken and written is required The candidat
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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