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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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skills and experience with numerical modeling and particle-based methods Interest in working closely with experimentalists Excellent written and spoken English skills Experience with parallel programming
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personal (marriage or civil partnership) or familial (parents, siblings, children) relationship cannot be selected as hosts. Programme information (PDF, 151 KB) Information for academic hosts Information
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this, these simulations need to be massively parallelized. The objective of this thesis is to implement and evaluate different contingency parallelization approaches using our group's computational infrastructure
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therapies, cell programming and repair, bioengineering, and computational health. Through this research, we build the foundations for medical innovation. Together with our partners, we seek to accelerate
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in geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., matlab, phyton, C/C++) and parallel
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application deadline in the latest version of the Programme information. Can I apply for parallel funding to another institution? On principle it is possible to apply to another institution for funding
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years before re-applying. Submitting a new application that differs little or not at all from the rejected original may result in a formal rejection of the new application. This programme is financed by
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postdocs may plan their projects with two hosts. If the hosts work at different research institutes, they must both provide a host's statement and confirmation that research facilities can be made available
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Hint Due to serious budgetary cuts there will be no further calls for the German Chancellor Fellowship Programme. • The fellowships granted to the current cohort of Federal Chancellor Fellows 2023