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, Soft Condensed Matter Physics , Soft Condensed Matter Theory , Soft Matter , Space Technology and its Applications , spin-orbit coupling , Statistical Mechanics , Statistical physics , Stellar
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
an international team of researchers applying advanced quantitative methods and statistical modelling to a cutting-edge population topic. Students with an excellent master’s degree (distinction
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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, statistical physics, optics, atmospheric physics, university didactics and astro-particle physics. The department is also since 2017 the hosting institution of two national centers of excellence - PoreLab and
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qualifications Masters degree in a relavent scientific field, such as biology, ecology, or natural resource management Experience conducting field work Basic statistical competence The following experiences and
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particularly qualified to carry out this PhD work. A brief high-level project sketch/project description (maximum 2 pages) for a PhD project according to the project description above. A copy of your CV. A list
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, their achievements and productivity to the success of the whole institution. At the “Friedrich List” Faculty of Transport and Traffic Sciences,Institute of Transport Planning and Road Traffic, the Chair of Traffic and
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research priority, leverage existing Australian investments, and provide computational and statistical training. Expected outcomes include advances in astrophysical knowledge, enhanced national and
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the following modes of study: Subject restrictions This funding is available to students undertaking study in: Criminology Economics Law Philosophy Politics Social Anthropology Social Statistics Sociology
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understanding of principles of hydrometallurgy and minerals processing. - Strong skills in collecting, recording, and analysing experimental data and the statistical analysis of data. - Ability to interpret