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workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry
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Sciences (HSPS) and also has a vibrant MPhil and PhD programme. There are currently about 80 students working on PhDs on a diverse range of topics in sociology. Further information about research interests
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Sciences (HSPS) and also has a vibrant MPhil and PhD programme. There are currently about 80 students working on PhDs on a diverse range of topics in sociology. Further information about research interests
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The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than 40 research groups and some 1,000 employees
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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analysis of large data sets Prior experience in signal transduction research Knowledge, Skills and Abilities: PhD level knowledge and understanding of basic cellular and molecular biology Expertise in cell
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from Theoretical Computer Science. The group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum Nanophysics, and Quantum Information Group – and at the Faculty
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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researchers at Princeton and other institutions, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with
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mining. Qualifications PhD (awarded or imminent) in Industrial Engineering, Operations Research, Mining Engineering, or a related discipline. Strong track record of publications in simulation, optimization