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master in Computer Science, Bioinformatics or related field Strong programming skills in R Background in machine learning and/or protein structures Fluent in English Specific Requirements Mobility rule
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in processing and analysis of medical images, especially thoracic computed tomography (CT) studies. Knowledge of artificial intelligence, machine learning or deep learning applied to biomedical
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, atomistic simulations, and machine-learning techniques, the postdoctoral researcher will develop predictive models of mineral carbonation processes and provide fundamental insight to guide and complement
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computer engineering and a qualifying master’s degree -Skills: Expertise in complex analysis models for large databases (machine learning, deep learning, etc.) and artificial intelligence. Verifiable
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Genetics or a related discipline. Oral and written proficiency in the two official languages of Catalonia or, alternatively, the selected candidate must demonstrate, or undertake to acquire within one year
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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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dynamic research lab, highly active in international projects, and composed of >20 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine/deep learning
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opportunities. Flexible working arrangements, including the possibility of partial remote work. Responsibilities: Design and implement machine learning and AI models for the early identification and prediction
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Pediatric Bioengineering(HSJD) Specific focus / expertise: Artificial intelligence and data science applied to bioengineering, including (but not limited to): – Machine learning and deep learning for complex
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are looking for someone with solid mechanical engineering fundamentals, good technical judgement, curiosity, practical problem-solving ability and a willing disposition to learn, build, test and improve real