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the company ONCONTROL, in cooperation with the UC. The fellowship will be involved in the execution of the following main objectives: - Optimization of the process digital twin - Development of a predictive
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visualization of high-dimensional omics data from the field of bioeconomics, and in the modeling, simulation, and engineering of biomolecular systems, including enzymes. Apply your data science skills to real
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Gaussian process regression to represent unknown dynamics for model predictive control. Despite the practical success, there are still many theoretical open questions regarding scalability, uncertainty
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focuses on advancing data-driven and model-based methods for fault detection, predictive maintenance, and process monitoring. The successful candidate will conduct research in data-driven and model-based
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sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 21 days ago
families that may differentiate thermotolerant Arctic algae from strict cryophiles. Particular focus may be made here on closely-related polar members of the model green algal species Chlamydomonas that have
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exploratory analysis on large, multi-dimensional datasets; (b) develop predictive/diagnostic models and algorithms to lead and support clinical/translational research; (c) collaborate with cross-functional
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methods to understand and predict the adsorption, self-assembly, and protective behavior of N-heterocyclic carbenes (NHCs) on metallic and oxidized surfaces. NHCs are promising corrosion-inhibiting
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the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description QSAR Lab is an R&D company specializing in computer modeling
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) to design an intelligent and scalable IoE energy management strategy; 4) to develop agile IoE fault detection and accurate failure prediction methods; 5) to construct an intelligent energy optimisation system