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Dispersion – Inverse Model (EURAD-IM). The PhD project will be conducted in the atmospheric modeling group of the Institute of Climate and Energy Systems (ICE-3) at Forschungszentrum Jülich and the
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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, helping to shape future research infrastructure Present your results on conferences in Germany and abroad Your Profile: Excellent Master’s degree in statistics, physics, mathematics, or a related
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both synthetic and real-world datasets. Synthetic benchmarks will be generated using established generative models capable of producing ground-truth synchronous patterns under varying conditions to
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, with the goal of improving scientific understanding of flow patterns shape ecological function in stream riparian ecosystems. https://www.lifesci.tohoku.ac.jp/research/fields/laboratory.html?id=454
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international conferences Supervise student theses Your Profile: Excellent Master`s degree with a strong academic background in computational engineering, mathematics, computer science, physics, engineering or a
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the project Restoration of Cymodocea nodosa meadows in Rota (Cadiz): a boost to increase blue carbon sequestration and functions and services under an ecosystem approach (AVANCE). Where to apply Website https
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high and the atmosphere is both tolerant and inclusive. For an overview, please see ‘Facts, Figures, People’ ( https://www.fz-juelich.de/en/about-us/people/board-of-directors-and-organization/facts
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results Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C