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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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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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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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candidates with: A PhD (or near completion) in immunology, cell/molecular biology, female physiology, aging biology, or related fields. A strong track record of research and publications. Experience with
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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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molecular biology, conventional and spectral flow cytometry, transcriptomics, and immune assays. Candidate profile Candidates should have a PhD with strong background in Immunology, expertise in animal
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Send your CV along with a motivation letter to [email protected] with [email protected] in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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[email protected] in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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study the mechanism of action of such inhibitors. Profile: Candidates with a PhD in biochemistry, cell biology or related field and with passionate interest in working on infectious diseases to both
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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