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- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
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- Josep Carreras Leukaemia Research Institute (IJC)
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- University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC)
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European Time (CET). How to apply Make sure you complete all the steps necessary before you submit your application. STEP 1 – Learn about CarrerasPathfinders. Navigate through the websites and understand
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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largest within the Catalan Institute of Health (ICS). A dynamic scientific environment of excellence, where cutting-edge biomedical projects are continuously developed. Continuous learning and career
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largest within the Catalan Institute of Health (ICS). A dynamic scientific environment of excellence, where cutting-edge biomedical projects are continuously developed. Continuous learning and career
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, to acquire new knowledge about research tasks. Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50563 Requirements Research FieldPharmacological sciencesEducation LevelMaster Degree
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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in one) will be a plus. Background in statistical learning, data analysis, or cybersecurity. Programming skills Proficiency in English [Optional] Experience with NLP or text analysis [Optional
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learning techniques for tool health monitoring and prognosis. Dissemination of research results through scientific publications, conference presentations, and completion of a PhD thesis. Required skills
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machine learning for audio and acoustics - Research in experimental techniques in acoustic -- - Investigación en procesamiento de señales y aprendizaje automático aplicados al audio y la acústica
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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