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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description Higher education...
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, participate in scientific and professional skills courses, attend international conferences and receive career development support. The PhD programme’s teaching language is English. Full funding is provided
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supports studies in subject areas with strong relevance to national development. The scholarships at SEARCA are available in the following fields: UPLB: PhD - Food Science (Nutritional, Domestic and Food
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Description KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in
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will take place at a German university and have not yet started. (A project that has been started is not eligible if applicants have scientifically dealt with the doctoral topic for more than 1 year
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scientific quality which must be concluded within a range of 3 years and effective academic mentoring which is suitable for the candidate as well as for the project. In addition to having an outstanding
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explores biological systems across scales—from molecules to whole organisms and ecosystems. Our program transcends traditional life science boundaries, combining pioneering methodologies and perspectives
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the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties within materials science and
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of Position Full PhD Working Language English Required Degree Master Areas of study International Relations, Political Science, Sociology, Social Science, Cultural History, Cultural Studies, American Studies
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning