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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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methods (including both quantitative and qualitative methods at a minimum of Bachelor's level) as part of their education/degree. The Master’s degree must be completed by the application deadline
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tentative project proposal (5-10 pages). The proposal must include the topic, relevant theory and methods and timeline. The proposal should include an explicit account of how the project contributes
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). The proposal must include the topic, relevant theory and methods and timeline. The proposal should include an explicit account of how the project contributes to the development of human geography
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and methods and timeline. The proposal should include an explicit account of how the project contributes to the development of sociology at the department. Applicants are expected to be able to complete
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. Experience with qualitative social science or humanities research on the life sciences will be considered an advantage: Experience with key methods and approaches from STS and/or innovation studies such as
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and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics
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also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring, neurodevelopment as
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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, or experiences and understandings amongst different groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis