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-0831 Description of Work: At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents
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response data with preclinical model testing to create the world′s largest metastatic pRCC database. Heidelberg University leads the multidimensional data integration task, focusing on centralized data
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contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
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. Candidates are expected to (a) design and implement statistical models for clinical, epidemiological, genomics/multi-omics and healthcare data, including performing data cleaning, transformation, and
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position (m/f/d) in multiscale, multiphysics, mathematical modelling of plant morphogenesis as soon as possible. Description of the project Plant growth is a complex hydromechanical process in which cells
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project aims to unravel the molecular mechanisms underlying these processes in lactating mammary epithelial cells. Using a cutting-edge lactation organoid model developed in our laboratory, combined with in
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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
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of turbulence with fast-ions, sawteeth, and MHD. Will participate in validation and integrated modeling efforts in the AUG program. Will be expected to make original research contributions to the AUG program
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on advanced internal combustion engines, with an emphasis on turbulent-jet ignition systems and structural-mechanics modeling of cylinder-kit components. The ideal candidate will possess a strong background in
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-physics TCAD simulations aimed at efficiently modeling charge transport, Joule heating mechanical deformations and ion migration in electronic devices such as MOS transistors and NAND memories