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analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all
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for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
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. Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc or equivalent degree in Molecular Biology, Genetics, Biochemistry, Epigenetics, or a related discipline
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Description We are seeking a motivated PhD candidate for a PhD thesis in bioorganic chemistry, focusing on the chemical synthesis of multi-fluorescence labelled DNA and PNA conjugates, conjugation
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PhD). Tasks: The successful candidate is required to conduct research on a topic in probability theory (e. g. stochastic processes / stochastic analysis) and its applications. You support the institute
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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can only be submitted via our online system. For online application and further information go to: https://www.uni-muenster.de/CiM-IMPRS We offer 16 fully financed PhD positions. More positions financed
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approaches to efficient analysis of the vast data amounts generated in the scattering experiments. For more information, visit our web page: https://www.soft-matter.uni-tuebingen.de/ We are currently looking
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-related phenotype in embryos. You will apply techniques including embryo culture, microinjection, RNA in situ hybridisation, confocal microscopy, Next Generation Sequencing and bioinformatics data analysis
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects within