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concerning this project, please, contact Yevgeny Seldin
. Resource efficiency for generative AI In this project, we will broadly investigate resource-efficient Large Language Models (LLMs -
of dysfunctions in lipid homeostasis in the emergence of neurodegenerative diseases including Alzheimer’s and Parkinson’s Diseases. Our approach consists in identifying, using biological models, lipid changes
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cells during skin inflammation. Project description The project will focus on T cell responses in skin exposed to various contact allergens. You will mainly use mouse models for allergic contact
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interventions for newborn piglets. The candidate should preferably have a veterinary background or research experience in animal models of neonatology. The successful candidate will be affiliated to the research
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conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
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requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can