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to develop coupled sub-models within a system dynamics framework. Working with colleagues from the Karlsruhe Institute of Technology, the candidate will build a behavioural sub-model using the CRAFTY GB model
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines, and in-depth experience with at least
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, which means: Developing a third-party funded project to be submitted to a competitive programme (e.g. Marie Curie, FWF individual project, FWF Esprit) Further developing your academic profile through
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schizophrenia-related symptoms in animal models (mice), in the context of a collaborative project with clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz
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National Science Foundation proposal to develop material specific kinetic parameters for clumped isotope reordering of carbonate minerals Qualifications Ph.D. in Geology or equivalent science Use of vacuum
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. Proven expertise in bioinformatics, coding languages, and statistical analysis tools. A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and
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clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz Rico. Candidates should have strong experience in stereotaxic surgeries and Electrophysiology
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, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, information designers, network technicians and engineers. We have five research specializations
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at the Laboratory of Geo-information Science and Remote Sensing, Wageningen University. Dr. Jiayan Zhao brings expertise in interface design, data visualization, and user experience evaluation in virtual environments
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience