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Field
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successful candidate will hold a PhD by the start of appointment, be proficient in Stata with strong econometric skills, and have experience executing difference-in-differences analyses using newer methods
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advancements and apply this knowledge to enhancing ongoing research initiatives. Qualifications Basic qualifications A PhD (or equivalent international degree), completed before the start date of the position
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, mathematics, and innovation. Candidates must hold (or be close to completing) a Ph.D. in Applied Mathematics, Electrical or Mechanical Engineering, Physics and Applied Physics or a related field. Working in a
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11.04.2025, Academic staff The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of automatic formal
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to care, and 2) the award-winning Business Analytics Department at Tippie College of Business, which specializes in machine learning, data science, and mathematical optimization, among other topics
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problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering, computer
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apply for stays in Europe. Travel grants are awarded for up to 3 months and encompass a contribution which may cover the expenses for travel, lodging, and course fees. Target Group PhD students or medical
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partners in genomics, cancer biology, and clinical research, providing opportunities to work with diverse biological systems and translational applications. Required Qualifications: PhD in bioengineering
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to conduct research on two interdisciplinary research projects on transportation, environment, and health. The candidate is expected to work on data integration and fusion, develop theoretical and mathematical
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data