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Field
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining
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LevelPhD or equivalent Skills/Qualifications The selected candidate will perform the following duties: - Experimental: generation and management of organoid models derived from patients, performance of high
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offer: Support in preparing your application. Scientific supervision by senior researchers with expertise in ageing biology, behavioural analytics, neurogenetics and Drosophila melanogaster as a model for
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techniques to create a model for the early prediction of victimization, offending and the victim-offender overlap, which could be employed in school and residential contexts to identify youth in urgent need
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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings
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, - Participation in national/international conferences, - Direction of master's or undergraduate students, - Participation in science engagement activities, - Certification to work with animal experimental models
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Experience in advanced statistical analysis models Experience working with large imaging datasets Experience in advanced MRI sequence and analysis Ability to work well in a multidisciplinary team
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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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be clinically tested in a small animal model. (Ref: PID2022-136961NB-I00)(HR25-00225). Main functions: Design, fabrication, and optimization of liquid-walled pumps (Qpump) capable of achieving
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Experience in advanced statistical analysis models Experience working with large imaging datasets Experience in advanced MRI sequence and analysis Ability to work well in a multidisciplinary team