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epithelial cell cultures, including polarized ALI systems. Optimize epithelial priming protocols using mechanistically distinct ligands. Measure epithelial immune activation using RT-qPCR for interferons
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biomedical and biological data, including developing and optimizing models to predict disease progression and create realistic patient profiles; Building and optimizing pipelines for pre-processing and
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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conferences/journals. Aptitude for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation
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experience in development of user interfaces, code debugging and optimization is also meritorious. It is considered a merit to have previous experience within EU-funded collaborative international projects
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research utilizing information networks. We focus on maximizing researcher's performances by ensuring efficient network utilization and system/application optimization. Leveraging insights from our
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environment. OUR MISSION: Support Energy transition by providing innovative composite solutions or optimizing the usage of existing solutions in demanding Energy and Mobility applications. Our laboratory
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environment. OUR MISSION: Support Energy transition by providing innovative composite solutions or optimizing the usage of existing solutions in demanding Energy and Mobility applications. Our laboratory
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; one has been optimized for experiments using very high energy resolution soft X-ray resonant inelastic X-ray scattering (RIXS), with a state-of-the-art spectrometer and the other branch for soft X-ray