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early steps in lung tumor development. You will use cutting-edge techniques including lung organoid models, single-cell transcriptomics and epigenomics, and CRISPR-based genetic perturbation. Key
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or showing willingness to learn machine learning models Having interest in stakeholder engagement Desired knowledge of Nature-based Solutions, especially in agriculture and developing country contexts
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. You will work here The project is a part of Open Technology grant for our proposal COre-based PYrrolizydine alkaloid synthesis for Contaminant Annotation and Tracking ( COPY-CAT ). The research is
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for our proposal COre-based PYrrolizydine alkaloid synthesis for Contaminant Annotation and Tracking (COPY-CAT ). The research is embedded within the group of Dr. Laura Righetti and Dr. Gert Salentijn
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/ Information and application Send a motivation letter, a CV, including the email addresses of two references, a grade transcript and a copy of your Master’s thesis and and preferably a list of publications
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actors involved in managing public space? How can they adapt to dynamic societal needs and increasing spatial interdependencies? What institutional models promote more efficient, equitable and resilient
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
fitting candidate for this position A concise research proposal of max 500 on how you would frame the project A copy of an academic text (such as MA thesis, an article) or any other output that you feel
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making them safer, but Andino also uses the polio virus as a model to study how other enteroviruses replicate. Viruses in its family cause disease in humans in many different forms, from stomach flu and
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regarding the demand that will have to be met soon. This requires building robust models to predict future demand, making decisions under time heterogeneous uncertainty and adapting to the state
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of contract research for both veterinary and human biomedical companies. A key focus lies in the execution of preclinical and clinical studies in viral infection models, aimed at evaluating the efficacy