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two (2) Data Science application experts The position As a data science expert, you will be responsible for developing techniques to process large-scale data, with a particular focus on managing
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, volumetric data analysis, optimization methods, statistical modeling, or machine learning for scientific applications. Prior experience with cryo-EM software frameworks or structural biology data is considered
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine
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formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA, we conduct research and education in both statistics and
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe. Our research covers a
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Multiphysics, validated against experimental data As a doctoral student, you devote most of your time to doctoral studies and the research projects of you are part of. Your work may also include teaching or
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Management Lab (KDMLAB) of the Department of Computer and Information Science at Linköping University. The department is one of the largest computer science departments in northern Europe, with research
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application! We are looking for a PhD student in Medical Science Your work assignments As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your