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Objectives: The candidate will use molecular dynamics to model the thermal transport in novel types of 2D materials and how it is affected due to material quality and size. Additionally, the candidate will use
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vivo tumor modeling, contributing to the project: “FSCN1 as a structural modulator of the cytoskeleton in T-cell lymphomas: molecular and functional bases.” This project combines molecular biology
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to support machine learning model development to accelerate materials discovery: Perform high-throughput DFT and molecular dynamics simulations to investigate the thermodynamic, structural, and electronic
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, cancer and other human diseases Bioinformatics and omics data analysis Systems biology and molecular network modeling The research project will involve tasks such as EV editing and loading, high
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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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Ikerbasque Fellow) and Pablo Iruzubieta (Clinical Neurologist), aims to understand the molecular basis of neurological diseases in order to develop novel diagnostic tools and personalized therapeutic
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work. Availability for a ≥4 month stay abroad. Background in at least one of: AI/machine learning, computational modelling, microscopy, or cell/molecular biology. LanguagesENGLISHLevelGood Additional
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Description Objectives: 1) Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with
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thermal management in energy conversion and data processing electronic devices. Fundamental understanding of nanoscale heat transport remains out of reach, and current models beyond diffusion are not
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on: i) the development and characterization of innovative CAR-T therapies in advanced preclinical models; ii) the implementation of CAR-T therapies for clinical use; iii) the characterization