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Field
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advanced instrumentation (ACSM, Xact, SMPS…) and machine-learning techniques. The selected candidate will work in a multidisciplinary and international research environment, contributing to the assessment
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analysis and hydrological modelling; 4) writing reports, articles and other outreach activities Where to apply Website https://icra.cat/en/oferta-treball/research-specialist-technician-tecesp_ec-fat
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machine learning models (ML). Integrating and running interface usability tests. Running pilot trials and writing scientific articles. PI: Dr. Federico Javier Leguizamo Barroso. Funding body: Govern de les
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mathematics. PI: Dr. Antonio Bordoy Fernández Funding body: - Institution: Universitat de les Illes Balears (UIB) / University of the Balearic Islands (UIB) Where to apply Website https://ppi.uib.cat/inici
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Balears (UIB) Where to apply Website https://ppi.uib.cat/inici/ Requirements Research FieldAstronomy » AstrophysicsEducation LevelPhD or equivalent Skills/Qualifications A PhD in Physics, Astrophysics
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in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are encouraged to apply. High proficiency in
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, molecular and outcome data available (e.g., survival, cancer recurrence, response to treatment, etc.). BENEFITS: We expect this framework to learn, discover and deliver novel biomarkers that can improve the
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will include implementation and optimization of machine learning models, biomedical signal processing, software integration, support for mobile application development and experimental validation
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learning. LanguagesENGLISHLevelExcellent Additional Information Eligibility criteria https://www.upm.es/Investigacion/HRS4R/HRS4R/Seleccion Se aplican las pautas establecidas en el proceso de selección del
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, multisensory integration, or visual perception) using data analysis and machine learning techniques. Implement XR prototypes and applications to validate the developed models. Contribute to the publication