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Field
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cuantitativo. Capacidad para trabajar con grandes conjuntos de datos y entornos computacionales. / Experience in data science, data management and optimization, and machine learning and AI techniques. Strong
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, Physics, Electrochemistry, or a related discipline. Experience in electrolyte formulation and additive design aimed at SEI/CEI stabilization. Hands-on experience in high-throughput electrochemistry (e.g
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, liposomes and other vesicular systems. Proven experience in the design, fabrication and operation of microfluidic devices for the controlled production of soft materials. Strong background in polymersome self
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. Responsibilities Design, deploy, and validate the federated learning infrastructure of the GLIOGEN-X project. Configure and coordinate the Fed-BioMed platform at participating centers. Ensure data security, privacy
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are looking for an excellent postdoctoral researcher interested in applying for a Juan de la Cierva 2026 fellowship, funded by the Ministry of Science, Innovation, and Universities (Spain), with IRBLleida as
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: Design and conduct laboratory experiments. Characterize materials using advanced analytical techniques (XRD, SEM-EDS, ICP-OES/ICP-MS, FTIR, Raman and thermal analysis). Process and statistically analyse
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 2 months ago
well as the performance of behavioral tests to evaluate motor activity. o The design and execution of both in vivo and in vitro experiments. o The application and development of cell and molecular biology techniques. Where
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experience. Flexible 37.5 hours working week Free parking available at our facilities. Continuous training plan to support your professional development. Good connection to public transportation networks
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biological validations of patterns identified in both cell cultures and tests on animal models. Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiogipuzkoa/es/Convocatoria
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adaptive learning systems). Support faculty in translating research-driven program design into engaging, evidence-based learning experiences across executive education formats (in-person, hybrid, and digital