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degree (or equivalent). We welcome applications from exceptional students with STEM backgrounds (physics, engineering, applied mathematics, advanced mechanics) intersecting with photonics. English language
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
or merit in the UK) or the equivalent national qualification in any area of social sciences including statistics and applied mathematics who are interested in this opportunity must submit their application
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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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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
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single PDF file to: ausschreibung09-25 at mpinat.mpg.de Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg 11
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a minimum of a merit at master’s degree level (or international equivalent) in a relevant science, mathematics or engineering discipline. Applicants without a master's qualification may be considered
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valuable experience working in an interdisciplinary environment. Requirements: First-class or 2.1 honors degree (or international equivalent) in engineering, computer science, applied mathematics, or a
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Institute). Qualifications We seek excellent students with a strong background in cosmology, astrophysics, physics, mathematics and/or computer sciences, who seek to obtain a Joint-PhD degree from
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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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will be provided): Either an excellent undergraduate degree or an MSc/MRes in Chemistry. Experience in materials synthesis, computational modelling and/or electrochemistry. Familiarity with analytical