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qualifications You have graduated at Master’s level in machine learning, statistics, computer science, or a related area that is considered relevant for the research topic of the project, or have completed courses
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health behaviors. The position may include some classroom teaching in statistics and/or research methods. The position affords opportunities for professional development and advancement, with guidance
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all, the traditional statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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experimental and computational methods, and should eventually promote our understanding of the potential drivers of language emergence in our species. Requirements What we expect from you: Essential A Masters
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The aim of this project is to describe ion conduction and activation/inactivation processes by employing molecular dynamics and statistical mechanical methods. The expected outcome is an improved
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part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for
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registries (the Public Health Agency of Sweden, the National Board of Health and Welfare, Statistics Sweden, and the Swedish Social Insurance Agency). The position involves close collaboration within the group
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Criteria A MSc degree in Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field; Strong knowledge of and experienced with statistics, machine learning, and stochastic
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August 27, 2024 The International Max Planck Research School for Biology And Computation (IMPRS-BAC) provides a broad education and experience in both experimental molecular biology and data