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train 15 early-stage researchers to develop human-relevant neuroscience tools beyond animal models, advancing next-generation in vitro and in silico New Approach Methodologies for complex brain disorders
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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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relevant experience in industry focused on designing and building state-of-the-art AI models, data science techniques and applications across diverse domains. The successful candidates will work at the
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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well as outcrop information, within a rock physics framework. The objective is to extract a maximum of petrophysical information for reservoir model building and to detect sweet spots for geothermal exploitation
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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
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Researcher will conduct research on the dissection of the interplay between metabolism and epigenetics in T-cell Acute Lymphoblastic Leukemia (T-ALL) and additional leukemias using mouse models. The Visiting
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and with the 2AT team at Institut Pprime to develop resolvent-based modelling tools for turbulent jets in cases where the jet mean flow is three-dimensional. The researcher shall: - Develop a high-order
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successfully applied to numerous protocols in the literature, providing security proofs or revealing new attacks. However, these formal (or symbolic) models do not allow for the modeling of probabilistic
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2