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of an additional second year contingent upon funding and performance. Individuals with a PhD in political science, computational social science, or a cognate discipline are encouraged to apply. Preference will be
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modules to farmer’s, cooperatives, extension agents, etc. Data scheduling, collection, analysis, interpretation, and presentation. Supervise Postdoc, PhD and Master students as well as interns Project
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or an equivalent degree in civil engineering or chemistry or chemical engineering or materials engineering. PhD degree in the field of Civil Engineering, Geodesy and Transportation or Chemical Sciences or Chemical
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survey evidence (including longitudinal/panel designs), contextual data and—when relevant—qualitative materials. Job position requirements (skills/languages/required experience) PhD in urban studies
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publications and conference presentations, and contribution to the continued development of clinical workflows using user-operated audiometry. Expectations of qualifications Candidates must hold a PhD degree
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FieldCriminologyYears of Research ExperienceNone Additional Information Eligibility criteria Required qualifications: • PhD in neuroscience, already defended or with a defense date scheduled before the start of
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advanced statistical modelling to examine discreteness beliefs and prejudice patterns across cultures analyse societal-level predictors such as cultural tightness - looseness and collectivism - individualism
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closely related field PhD training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
skills in computational molecular (bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students