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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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-sensitivity cortisol sensor for biomedical applications and emotional monitoring Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements Research FieldEngineeringEducation LevelMaster Degree
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campuses and collaborating institutions (e.g. University of Manchester, UK and University of Marseille, France) Consistent evaluation of the bibliography in the areas relevant to the research Regular
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of elements) of the model.; 3) develop an optimization algorithm based on genetic algorithms and metamodels and 4) design functionally graded OC scaffolds using different biomaterials. The doctoral candidate
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campuses and collaborating institutions (e.g. University of Manchester, UK and University of Marseille, France) Consistent evaluation of the bibliography in the areas relevant to the research Regular
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batteries, along with advanced sensor systems. A key focus is micro integrating energy sources and sensors into autonomous, self-powered platforms by leveraging standard silicon technologies, rapid
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Experience: Work developed related to the work and functions to be performed (punctuation: 30) Item 03: Specific Education: Programming microcontrollers, sensors and IoT communications (punctuation: 25) Item
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/Qualifications Experience in: - Development of artificial intelligent algorithms. - Explanaible artificial intelligence - LLM experience - Virtual intelligence entities using reinforced learning
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for precision livestock farming within the Horizon Europe Re-Livestock project. The candidate will design and analyse mathematical algorithms to monitor and improve animal performance, welfare and environmental
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STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 119977 Development of mathematical and machine-learning algorithms to support an intelligent, integrated system for biosafety