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Group, led by Dr. Javier P. Gisbert and Dr. María Chaparro, is seeking candidates with a competitive scientific profile to prepare an application for the 2026 Juan de la Cierva call of the Spanish State
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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candidate to join an interdisciplinary Future Health Technologies (FHT) research programme at the forefront of agentic AI in healthcare. The project aims to design, develop, and evaluate AI-driven coaching
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research studies, data management, model development, executing experiments, and evaluating chip packaging techniques. Performs hands-on processes in chip fabrication, packaging, metrology, and
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis
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can upload participants' written memory responses and receive automated scores in return, without writing any code. The platform is designed to host a range of scoring models (both the models we develop
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with quantitative assay development, data analysis, and experimental troubleshooting Is able to work carefully with infection-relevant models and maintain rigorous documentation Is self-motivated
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to join a multidisciplinary biomedical research team. The successful candidate will contribute to cutting-edge research involving genome engineering, transgenic animal model development, molecular biology
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maintenance of DTS systems for continuous monitoring in soil and stream Methodological developments for the use of heat as a tracer for preferential flow Development of signal processing routines for high
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research program investigating the molecular and developmental mechanisms underlying testicular dysfunction and infertility in a Wnt4 conditional knockout (Wnt4-cKO) mouse model. This position offers