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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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FOR DRAWING UP OF PREDOCTORAL CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 119865 Development of machine-learning and graph-based models
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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
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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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and employees, carries out broad cultural outreach and social promotion through NGOs and charities, and encourages service-learning programs. All qualified applicants will receive equal consideration
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environment of excellence, highly dynamic, where high-end biomedical projects are continuously developed. Continuous learning and a wide range of responsibilities within a stimulating work environment
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transport, energy conversion and light–matter interactions beyond established models. The project demands independent learning and effective collaboration in a multidisciplinary environment where new methods
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will learn to i) fabricate vdW stacks via exfoliation/MBE and deterministic transfer ii) pattern nanodevices, iii) quantify damping-like and field-like torques using second-harmonic Hall and optical Kerr
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proficiency in English, both written and spoken. Enthusiasm for learning and contributing to cutting-edge research is also essential. Application process: Interested candidates are invited to apply via
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processing (computer vision & machine learning) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » OtherEducation LevelMaster Degree