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Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content International Max Planck Research School – Biological Intelligence (IMPRS-BI) offers first-rate
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further both professionally and personally in an interdisciplinary setting. Position DWI invites applications for a position as PhD student (f/m/d) in the field of polymer chemistry and physics Starting
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Humboldt Universität zu Berlin / Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 2 months ago
Group 2965 - From Geometry to Numbers, jointly run by Leibniz University Hannover and Humboldt University Berlin, invites applications for two positions of a PhD student (m/f/d) in Mathematics (Salary
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Degree PhD (Division of Mathematics and Natural Sciences) or, alternatively, Dr rer nat Course location Göttingen In cooperation with Max Planck Institute for Multidisciplinary Sciences (MPI-NAT
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Chemistry and Earth Sciences Engineering Sciences Mathematics and Computer Science Physics and Astronomy Philosophy Modern Languages Theology Law Economics and Social Sciences Behavioural and Cultural Studies
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 21 hours ago
Only for doctoral programmes: any time Application deadline Application deadlines are posted on our website . Application calls for PhD positions in the IMPRS are held once per year. Usually
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Master's degree in any relevant discipline: biochemistry, biophysics, biomedical sciences, bioinformatics, experimental and theoretical biophysics, (physical) chemistry, and applied mathematics; two letters
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experience with quantum technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English
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implementing numerical optimization techniques Interest in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum technology Strong mathematical education, in