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designed and is managed to optimally use the available electrical and thermal energy. In essence, focus has shifted from optimizing production goals and subsequently determining where and how to get energy
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sustainable crop protection? Would you like to work in an interdisciplinary project with practical applications? And do this in close collaboration with researchers, including other PhD students, and industry
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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data analysis and biomarker discovery • Collaborate with a multidisciplinary team of researchers and clinicians • Engage with the International PSC Study Group, a global research consortium • Work in
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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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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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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