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German Institute for Economic Research (DIW Berlin) • | Berlin, Berlin | Germany | about 19 hours ago
admission requirements Applicants must hold a Master's degree or diploma in economics. Degrees in other related fields (such as civil engineering, statistics, or quantitative social sciences) may also fulfil
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). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found
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skills: Training for career advancement in academia or industry with a focus on data management and statistics, scientific writing and publishing, writing proposals for grants and funding as
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cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
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, (food) marketing, or related social sciences disciplines, strong analytical skills, experience with relevant statistical methods, proven interest in topics related to sustainable food systems, and strong
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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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, leading to a doctoral degree in the field of physics. Scientific interests are centred on activities in applied and quantum optics, nuclear, and particle physics, physics of condensed matter, statistical
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researchers. Faculties Human Sciences and Education Educational Science Psychology Social Sciences, Economics, and Business Administration Political Science Sociology Economics Statistics and Econometrics
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primarily be using registry data from Statistics Denmark. Over the three years of employment, you will be required to deliver 600 hours of teaching and attend 30 ECTS of PhD level training. Your competencies
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and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial