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, development, and training of machine learning and deep learning algorithms. Creation of accurate, robust, and energy-efficient models. Development of systems capable of predicting and making decisions in real
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and observation models to reflect real-time changes in environmental conditions, enabling more accurate predictions of adaptation impacts and thereby supporting a better-informed, resilient decision
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to combine high-throughput metabolomics with 3D cell culture models Perform large chemical and genetic studies in cancer cell lines derived spheroids Develop predictive model of drug response by comparing 2D
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on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
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to experimentally test predicted models would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2357-PATACH-008/Default.aspx Work Location(s) Number of offers available1Company
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and observation models to reflect real-time changes in environmental conditions, enabling more accurate predictions of adaptation impacts and thereby supporting a better-informed, resilient decision
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anatomical modeling with mechanistic physiologically based pharmacokinetic (PBPK) models, enabling simulation of radiopharmaceutical distribution at sub-compartment level. By integrating high-resolution
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can support prediction of many different clinical outcomes at once. To fuel your models, you will have access to one of the largest multicentre ICU resources to date (~1M patients, ~33B clinical events
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more information about this assessment on our website about knowledge … Where to apply Website https://www.academictransfer.com/en/jobs/357324/phd-position-on-predictive-mode… Requirements Additional
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Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Modern Economy Program 2021–2027 (FENG) Action 2.2 First Team, with the Intermediate Institution being the Foundation