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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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data in order to identify the different cooling stages and analyse the influence that different parameters may have on heat treatment D. Detailed numerical modelling of the heat treatment process to be
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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secondments: (i) Viva, Seville, Spain, mentor I. H. Rodriguez (4 months): Design of filtration systems and modules with energy-efficient models for conventional and catalytic membranes. (ii) Biosnar, Vaske
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(mammalian cell cultures) and whole tissue level (preclinical cancer models). Main Tasks and responsibilities: The PhD candidate researcher will focus primarily on laboratory-based experimental work in the
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(mammalian cell cultures) and whole tissue level (preclinical cancer models). Main Tasks and responsibilities: The PhD candidate researcher will focus primarily on laboratory-based experimental work in the
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, AN/sucrose and KNO₃/HTPB. The resulting datasets will be used to calibrate and validate multiscale, multiphysics constitutive models, linking microstructure to ignition sensitivity, detonation dynamics, and
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for Bioengineering of Catalonia (IBEC) is looking for a Pre-doctoral Researcher to conduct her/his predoctoral training on advanced cancer in vitro models to study critical steps of the cancer immunity cycle. The aim
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it is not essential. The candidate must be fluent in English and Spanish. 4. Project Name & Code PID2024-162474NB-I00: Deciphering the role of rh37 in translation in response to aba and its regulation
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activity, oxygen storage capacity), in collaboration with machine learning experts to build predictive models. Producing well-characterized nanoparticle batches for external testing and catalytic