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Field
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, narratives and myths), in a study combining computer science, management, sociology, and ethnography. The project will rely on a novel Thick Big Data methodology, combining Big Data approaches (TribeFinding
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on an exciting Wellcome-Trust funded project. The research focuses on decoding neural representations across dynamic brain states through advanced computational analysis of large-scale neural recordings. What you
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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an advantage Specific Requirements University studies in Computer Science or Computer Engineering (Bachelor’s and Master’s degrees) Basic knowledge of geospatial technologies Basic knowledge of big
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knowledge will be verified (maximum 65 points): 1. Development and application of machine vision approaches (maximum 20 points); 2. Big data analytics, model development and validation (maximum 20
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analysis, power analysis, mixture models, causal inference, psychometrics, sequential and time series analysis, and/or analyzing large datasets are plusses. Strong data management skills are required
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researchers on projects related to big data, health economic analyses, large-scale population-based longitudinal studies, and electronic medical records-based cohort studies, particularly in the areas
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data and relevant factors as model inputs into modelling frameworks, by targeted literature review and secondary data analysis Perform big data-based epidemiological studies in health services and policy
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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to big data, health economic analyses, large-scale population-based longitudinal studies, and electronic medical records-based cohort studies, particularly in the areas of special educational needs and