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Field
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. Focused on addressing the challenges posed by implant-associated infections (IAIs), SHIELD aims to deepen our understanding of IAI mechanisms and develop innovative antibacterial biomaterials to improve
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for data augmentation, small language models, anomaly detection using learning methods, and explainability techniques for decision-making. The research will involve designing and developing prototypes
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thalamocortical networks in humans and elucidate their critical roles in cognitive functioning, as well as in developmental and neurodegenerative disorders, thereby advancing our understanding of brain health and
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) invites applications for THREE PhD fellowship in Astrophysics in the framework of the projects: • MATRYOSHKA- Globular Clusters, the key to understand the evolution of galaxies (PID2024-162088NB
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development and innovation at the University of Alicante (Official Journal of the University of Alicante of 22 October 2024). 1. First project in which the successful applicant will collaborate: 1.1. Name of
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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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Benefits A full-time work contract (37.5 hrs/week). The researcher will have the possibility to participate in teaching activities for professional development (not obligatory, though). Eligibility criteria
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
for Bioengineering of Catalonia (IBEC) is looking for a Pre-doctoral Researcher to conduct her/his predoctoral training on the development and characterization of novel multifunctional biotherapeutics capable
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of the project is to develop a bioprinted cancer-on-chip model reproducing the tumor microenvironment and the blood and lymph vessels to study immune tumor infiltration in colorectal cancer. The PhD project will
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algorithms to extract clinical indices and provide new digital biomarkers for sleep medicine. The aim of the project is to develop new algorithms and tools of Digital Health for non-invasive, home-based sleep