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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 12 days ago
of material deposited, while maintaining the expected accuracy. Part of the activity will also involve implementing Artificial Intelligence (AI) methods similar to computer vision to facilitate this prediction
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Description of the workplace Automatic Control is an exciting and broad subject, covering both advanced mathematics and hands-on engineering. Historically, it has been instrumental in many areas
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties
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the field of computational morphodynamics in plants. The work will be within the BBSRC-funded project "Tipping the balance: utilising hormonal crosstalk to control stem cell plasticity", with the aim
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated PhD candidate to advance predictive, data-driven production and
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efficiency and reliability. Strong background in data analytics, leveraging insights to drive operational improvements and predictive maintenance. Experience in control strategies and automation, ensuring
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to work on the use of hyperspectral data to explain and predict soil functions and communities in European mountains. We are looking for a candidate who has a very good command of artificial intelligence
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related to staff position within a Research Infrastructure? No Offer Description The researcher will support the design, simulation, and validation of predictive controllers for power converters. Tasks
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recession. A key objective is to identify and predict gatekeepers, i.e., critical locations that dynamically link upstream areas to the drainage network. The position will interact closely with other partners