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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
-specific CD4+ T cells of elite controllers from viral entry. Nature Communications 13:521 – Jeger-Madiot R*, Planas D, Staropoli I, …, Gobaa S, and Chakrabarti LA*. (2024) Modeling memory B cell responses in
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industrial domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response
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and optimize molten salt thermophysical property measurements, develop and utilize theoretical models and frameworks to predict salt properties, molten salt thermophysical property database expansion
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training data. You will unravel the cis-regulatory code controlling context-dependent gene expression and use this information to design synthetic promoters. You will train and evaluate predictive models in
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the fundamental aspects of transcriptional control, this project also opens new avenues for the design of climate-resilient crops. Supported by single-cell profiling and predictive artificial intelligence models
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coordinated mechanisms, which include DNA Damage Response (DDR), the control of cellular proliferation or apoptosis induction. IR exposure might lead to genomic instability, chromosomal aberrations and cancer
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CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run