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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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for the functional research section of the project. Job profile • You hold a Master’s degree in Medicine or any related biological studies (e.g. Pharmaceutical Sciences, Biomedical Sciences) • You have a keen interest
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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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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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of the doctoral candidate will be supervised by professors Brent Bleys and Bart Defloor, and part of the non-research tasks consists of assisting in the organisation of the European Society for Ecological Economics
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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