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a post-doctoral researcher to join WP2 on the AI4MAP project, primarily focusing on developing adaptive sampling and spatial modelling strategies. The work will concentrate on designing and
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and portal hypertension in liver disease, mostly of metabolic injury and alcohol-related origin, as well as the immune and inflammatory underlying pathways. We use the rat/mouse model and several ex
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the PhD Students: - Decide the experimental design for the validation of the developed models to authenticate pistachios, and collaborate in recruiting new samples - Perform the analytical
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mouse model of Marfan syndrome. To carry out this project it will be necessary to generate a mix mouse model with Marfan syndrome expression the Keap1-Nrf2 indicator (transgenic mouse model named OKD48
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methodologies (knowledge discovery in databases) and skills in programming languages and handling next-gen statistical models. Particular consideration will be given to candidates with experience collaborating
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the Dutch Research Council (NWO). The successful candidate will play a key role in developing software packages used for numerical relativity simulations, modelling gravitational wave sources and data
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mobility, as well as knowledge about the models used in mobility studies. Prior experience Experience using ICT data to study mobility. Years of Research ExperienceNone Internal Application form(s) needed
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of the research project or research support position to which the successful candidate will be attached: up to 4 points out of a total of 10. Selection process The specific committee will agree upon an award
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of Group/Project: We are building an optimisation-driven framework that makes AI models reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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. - Development of theoretical and statistical models that allow for the maximization of cosmological information from data such as galaxy surveys or similar. Gross annual salary: 18.269,64 € Link