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Description Reference number 3705 Pay grade 13 TVöD Place of work Berlin Limited for three years Application deadline 10.06.2025 Apply here BfR job [jsp?id=003705en&dbv3_man=allgemein-Datei
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interpersonal skills with the ability to work with patients, members of the public, and present as a representative of the lab at national and international scientific events • Demonstrate strong mathematical
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
combines expertise in advanced techniques of demographic, longitudinal and spatial analysis. The student is expected to use the opportunity of preparing a PhD thesis as a collection of research articles
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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by consolidating state-of-the-art empirical work, establishing a comprehensive dataset, and developing theoretical frameworks to better understand and respond to gender-related violence. What you will
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become increasingly prominent in space applications, offering substantial benefits with high strength/stiffness and lower density/weight compared to metallic structures. Their use space vehicles span
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well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
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Supervisors: Prof. Reinhard Maurer (Chemistry), Prof. Richard Beanland (Physics) Understanding how local atomic structure and long-range emergent magnetic and electronic properties in defective 2D
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at the intersection of cyber security, cyber-physical systems, and mathematical methods as part of the NORCICS Norwegian Centre for Cyber Security in Critical Sectors. The centre links researchers from
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression