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and administrative duties. Requirements: very good university degree in mathematics, preferably with a focus on probability theory or analysis; curiosity and strong interest in rigorous, methodical
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
in individuals’ other life domains (e.g. partnerships, education, employment, housing) and to changes in their socio-economic context. The project will involve analysis of individual-level data from
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, to Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Department of Chemistry, Prof. Dr. Oliver Seitz (located: Brook-Taylor-Str. 2, Berlin-Adlershof), Unter den Linden 6, 10099 Berlin
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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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criteria Academically relevant background within marine technology and cybernetics, electrical engineering, control engineering, computer science, applied mathematics, or a related discipline. Master's
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mathematical statistics (University of Gothenburg / Chalmers University of Technology) Prof. Mats Nilsson, pioneer in spatial genomics (SciLifeLab & Stockholm University) Integration into the national DDLS
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the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a multiscale analysis of the mass distribution, as well as that of the flow field
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to have a background in engineering and/or an affinity for mathematical modelling and sustainability assessment methods such as life cycle assessment. Affinity with pharmaceutical manufacturing or chemical
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Physics, Applied Mathematics, or a related field keen interest in theoretical biological physics programming skills and first experience in data and image analysis excellent communication and presentation
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thermochemical TES. Your main supervisor will be Prof Adriano Sciacovelli and you will join the Thermal Energy Section at DTU Construct. Your work will contribute to a paradigm shift in how complex TES systems