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• Strong interest in interdisciplinary research Qualifications Research Assistant • Honours degree in (Biology, Neuroscience, Computer Science, Engineering, Mathematics, or related area) In addition
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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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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
for you? As a PhD student in our group, you will: Be trained at the forefront of biomaterials, synthetic biology, and drug delivery science Have hands-on access to world-class infrastructure and cutting
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Assoc. Prof. Leticia Hosta-Rigau. We offer
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months 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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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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) via e-mail and as a single PDF file to: ausschreibung10-25 at mpinat.mpg.de Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut
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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