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Mathematics (familiarity with Statistical Physics or Soft Matter is an advantage); • A strong background in chemistry, physics or computational science; • Affinity and/or experience with continuum
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Tesla in humans. Mouse and human observers will undergo an identical statistical learning paradigm. The project, led by dr. Mototaka Suzuki and dr. Jan Willem de Gee, is embedded in the Cognitive and
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curiosity, eagerness to learn, and openness to criticism. Preference will be given to applicants who Have a Research Master´s or MPhil degree or equivalent; have expertise in programming/statistical tools
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willingness to build skills in: qualitative methods and process tracing (PhD1); or quantitative methods including survey analysis and statistical programming in Stata/R/Python/etc. (PhD2); ability and
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quantitative skills, including survey development, statistical analysis, and/or familiarity with R, python or any other programming language, and/or (big) data collection and analysis skills, and/or previous
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(below are examples you don’t need to use them): · MSc in computer science, artificial intelligence, statistics, econometrics, or a related field; · You have experience with artificial
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, C++) or experience with statistical software (e.g., GIS, JASP, Stata), and exhibits a desire to develop new methodological skills. Knowledge or experience that are an advantage are not included in
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, experimental, and longitudinal studies in childhood; Integrating theories and methods from developmental psychology, social psychology, pedagogics, educational science, and sociology; Using advanced statistical