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will be combined with theoretical modelling, statistical data analysis, and numerical simulations to identify the governing mechanisms and to determine whether and how proximity to a phase transition
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mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners are further developed in different areas, which open up numerous opportunities
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interact with complex glycans and how receptor binding evolves across strains and host species. Depending on your background and interests, you will contribute through complementary approaches such as
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
for the AMBIOM (Analysis of Microscopic BIOMedical images) Research Group: PhD Candidate (m/f/d) You will be responsible for Developing large-scale microscopy image analysis pipeline for 3D microscopy images
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capillary pressure and hysteresis in multiphase flow, and the complex phase behavior of multicomponent mixtures described by realistic equations of state. Achieving this goal requires an integrated approach
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about mathematical and computational research. can work independently and in a structured manner. have strong analytical skills and the ability to engage deeply with complex problems. can collaborate
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of the PhD will be to understand how complex coastlines, ocean circulation, and biology (e.g., reproductive systems and phenology, larval behavior and survival) interact to affect the spatial structure
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for Systems Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), in
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complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
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from Rolls-Royce plc. This fully funded PhD project, with support from a leading industrial partner, will explore the development of next-generation intelligent sensing and data analysis techniques