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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 2 months ago
practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning
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to research projects involving big data analytics, artificial intelligence, and machine learning applied to stroke care. Support the development and validation of predictive models and clinical decision-support
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catalogs and in the framework of their respective international consortia. • Support in the Development of machine learning techniques aimed at modifying the dimensionality of input data to improve
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the UOC's GRECIL research group. The specific aim of the MultiLearn project ("Multimodal approach to language learning: insights into the linguistic skills of children with neurodevelopmental disorders
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of the specimens included in the study. Skillful execution of research protocols. Collaborate with other team members. Analyse and interpret the data obtained Where to apply Website https://jobs.vhir.org/jobs
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the process of obtaining an undergraduate degree in Computer Engineering or in Artificial Intelligence Engineering (Spanish MECES level 2 or EQF level 6), or any other degree with equivalent content. Applicants
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for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model
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, organisation and validation of datasets used in scientific and technological projects. • Collaborate on the deployment and maintenance of applications and services related to machine learning and artificial
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Analysis Plans. •Experience with missing data methods and causal inference. •Experience with Bayesian methods and machine learning approaches. •Experience with REDCap and clinical research databases