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Jülich, which is dedicated to pushing the boundaries of data science theory and application. Our research spans from use-inspired, method-driven theory to application-driven research. Please find more
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language
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, and responsiveness across care settings. Within care homes, these issues are exacerbated by staff shortages, fragmented communication. As a result, despite the growing use of telehealth systems such as
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course of study in the fields of Fine Art, Design, Visual Communication and Film. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if
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of study. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if you have gained a first university degree in the field of the Performing Arts at the latest
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Germany in the field of Economics and Business Administration . Who can apply? You can apply if you are an excellently-qualified graduate and have completed a first degree (Bachelor, Diplom or comparable
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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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engineering, biotechnology, computational biophysics, bioinformatics, data science, or a closely related discipline with a strong academic record Genuine interest in data-driven and physics-based modeling
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal