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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate surrogates
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atmospheres and detectability studies Model development of 3D stellar atmospheres Applications of machine learning and AI to exoplanet data analysis Biomarkers and habitability of Earth-like planets Where
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accreditation • Proven experience working with animal models • Extensive expertise in histological and imaging techniques, including confocal microscopy • Proficiency in image analysis software (e.g., ImageJ
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? No Offer Description The laboratory is interested in investigating the genetic and epigenetic basis of phenotypic plasticity in animals using insects as a model organism. To that end, we use a variety
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of star formation histories and age-metallicity distributions of selected stellar samples in the Milky Way disk and halo Mechanisms of stellar migration in the Milky Way disk Chemical evolution modelling
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? No Offer Description PID2022-141627NB-I00: A MODEL FOR LESS IS MORE: development of Oikopleura dioica as an evolutionary knockout model to study the impact of gene loss on the evolution of gene
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? No Offer Description PID2022-141627NB-I00: A MODEL FOR LESS IS MORE: development of Oikopleura dioica as an evolutionary knockout model to study the impact of gene loss on the evolution of gene
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organoids Experience with cerebral organoid models (is preferred but not mandatory) Molecular and biological assays to characterize stem cells and extracellular vesicles ES4TERM group has long track record in
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other territorial units. •Development and application of causal inference techniques (difference-in-differences, propensity score matching, multilevel models) to estimate the electoral effects of urban
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cerebrovascular diseases. Our research focuses on models of ageing, neuroinflammation and oxidative stress. To achieve this, we apply biomedical approaches including biochemical assays, in vivo and in vitro studies