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the motor design can be modified to make the windings in the machine more robust against thermal variations or mechanical vibrations. The work includes a significant experimental part, i.e. making prototypes
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. You will work on a strategic research project funded by the Flanders Make. In this project we want to research and develop a transformer-based framework that couples with physics-based models to handle
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model for Flanders that allows to analyse the carbon emissions of the stock, both operational and embodied. You will then use this model to assess the impact of various energy conservation measures and
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articles, resulting in a PhD dissertation; Present findings at (inter)national meetings/conferences; Contribute to the wider work of the Data2Action project Contribute to educational activities
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Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
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-catalysed coupling reactions for preparing interesting basic molecules for the pharmaceutical industry. The methodology's tolerance to functional groups will allow ‘late stage’ functionalisation to be
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of their many functions, they allow virus-infected cells to warn neighboring cells about the imminent viral threat. Indeed, upon virus infection, infected cells generate antiviral messenger molecules like cGAMP
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with causal inference or debiased machine learning is a plus. - You are creative and have strong analytical skills. - You are a team player, motivated to work in a team of statisticians, and have strong
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taxonomic experts with relevant collections; Designing a digital interface that provides experts with streamlined access to pertinent collections and literature. Leading Work Package 4 within the DiSSCo