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Field
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mechanisms such as fatigue, fracture, ultimate strength, biofouling, corrosion, etc. Assess the metocean statistics to obtain 50- and 100-year return period load combinations. Develop and document high
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degree programme No Description/content Data Science is a scientific field that has emerged at the interface of computer science, mathematics, statistics and applications. It is interdisciplinary by nature
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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills
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, a successfully completed university degree in computer science related fields (e.g. medical computer science, bioinformatics, physics, engineering, computer science, statistics, mathematics) or in
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https://equity.unl.edu/notice-nondiscrimination/ . Minimum Required Qualifications Ph.D. or equivalent. Knowledge of statistical techniques and related cutting-edge methods. Experience with data
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holding a Bachelor's or Master's degree in economics or related fields (e.g. mathematics, statistics, business administration, accounting, and finance) are encouraged to apply for admission. The application
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requirements, the applicant must have credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics or alike, including a 30 credit Degree Project (thesis). proficiency in English equivalent
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German Institute for Economic Research (DIW Berlin) • | Berlin, Berlin | Germany | about 7 hours ago
includes courses in advanced-level mathematics, microeconomics, macroeconomics, and advanced econometrics. In the summer semester (April to July), doctoral students choose either Econometrics II
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background in neuroscience, biology, physics, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, psychology, cognitive science, or engineering German
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datasets, and large-scale statistical studies comparing different methods. The successful candidate will be jointly supervised by: Dr Edward Gillman (https://www.nottingham.ac.uk/physics/people