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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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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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e intercepción y análisis de comunicaciones. -Advanced knowledge of machine learning in artificial intelligence. -Strong proficiency in programming languages, particularly Python. -Advanced knowledge
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alternative phonological descriptions into the extended BML used by Animics also play an important role. Advances in this regard could help generate resources to progress toward a medium-term goal: the machine
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results in peer-reviewed journals, present them at conferences, and contribute to project reporting. Work with the interdisciplinary team of the group (theory, computation, machine learning) and 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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laboratorio. Experiencia en programación en Python y técnicas de machine-learning. Master’s degree in biomedicine, biotechnology, or a related field. Knowledge of laboratory techniques. Experience in Python
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is offering starting research contracts of one year so that students can start their research career. We are looking for highly motivated candidates, with a strong desire to learn and interest in
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ideal for a computational scientist, bioinformatician, or data scientist eager to apply machine learning and advanced data analysis to complex, large-scale biological datasets. Where to apply E-mail
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related to machine learning. Specifically, (s)he will be partially involved in the development of tasks T2.2 (Inductive Logic Programming), T4.1 (decision support in liver transplantation) and T4.2 (3D