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Your Job: The main objective of this PhD project is to achieve a better understanding of the efficient propulsion of trypanosomes through complex crowded environments, mimicking biological tissues
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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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excursions. The PhD student will work on analysing the reliability of paleomagnetic records, deriving uncertainty estimates, and building time-dependent models of the paleomagnetic field evolution using a
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and physics is curious, open-minded, a team player, and well organized has interest in modelling complex systems, ideally for particle radiation effects. Experience in these areas is therefore highly
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 17 hours ago
description: Reference No. SE 2025/24 The Institute Competence Centre Photovoltaics Berlin (PVcomB) is looking for Postdoc (f/m/d) Stability Modelling of Perovskite-Silicon Tandem Solar Cells Your Tasks Based
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. These are used beyond traditional storage applications, including AI applications. To design a full memory array and use it for AI applications, an effective ferroelectric device model is needed. Students will
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to develop a biogeodynamic model, by coupling a trait-based eco-evolutionary model (e.g. AdaScape) into a reduced-complexity river delta model (e.g. DeltaRCM). We will use the model to synthesise information
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-transfer and reaction, which has to be investigated and further modelled within the framework of this thesis. Aims The ultimate goal is to develop a holistic yet simple kinetic model for solvent-assisted
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-transfer and reaction, which has to be investigated and further modelled within the framework of this thesis. Aims The ultimate goal is to develop a holistic yet simple kinetic model for solvent-assisted
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with