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Victoria Moreno is seeking a highly motivated PhD student to join our team (http://www.cipf.es/regeneracion-neuronal ). Our group works with preclinical models in search of an effective therapeutic strategy
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health research on Virus evolution using Organoids models (APROVO)” in the frame of the APROVO Project (Proyectos de Generación de Conocimiento, Ministerio de Ciencia, Innovación y Universidades). The PhD
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considered. Mandatory possession of Category D certification to work with laboratory animals and being able to apply for animal experimentation proyects. Experience with cancer mouse models, preferably lung
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, aiming to develop models capable of interpreting visual data and responding to clinical queries in a reliable and explainable manner. Where to apply Website https://www.upv.es/entidades/vinv/programas-de
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Marine and Continental Waters and Biosystems sustainability Program team located in La Ràpita and Caldes de Montbuí, offering a great opportunity to work in a dynamic and collaborative environment within
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Offer Description We are currently seeking a PhD Candidate to join our Marine and Continental Waters and Biosystems sustainability programs teams located in La Ràpita and Caldes de Montbui, offering a
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CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 109772 Research on understanding and optimization techniques for transformer models, with
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or equivalent Skills/Qualifications Valued/Preferred qualifications: Experience in software solution development Experience with machine learning models Experience in R&D&I projects (Research, Development and
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to adapt to multidisciplinary environments and a focus on professional growth and development. Desirable requirements Good knowledge of quantitative methods (econometric models, time series econometric and
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for automatic species identification, the use of various modelling approaches (such as generalised linear models or mixed models), spatial analysis of the movement of animal species tracked by GPS, analysis