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Foundation (DFG) project "Kernel interpolation on Riemannian manifolds", led by Dr. Janin Jäger. The project focuses on the mathematical analysis of kernel-based methods, in particular their interpolation and
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species can be involved in hybrid sterility. The role of meiotic recombination in speciation can thus be manifold, but little is known about its role during speciation in songbirds. The PhD project aims
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learning potentials (MLPs). You will develop geometric graph manifold learning methods and utilize those to learn from heterogeneous quantum mechanical datasets. You will implement and benchmark state
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geometryis the area of mathematics where one studies inter-relations between explicit geometric invariants of a Riemannian (or sub-Riemannian) manifold with the spectrum of the Laplace (or Laplace type
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interact with social networks and the effects that these manifold interactions have on individual and collective time-varying indicators of social, cognitive, behavioural, and affective well-being. You will
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Germany. It maintains close cooperative relations with various partners in Germany and abroad. We offer a structured doctoral training program, manifold activities, exciting research topics, a highly
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., symmetries), learning on structured domains (e.g., graphs, manifolds) (to achieve data efficiency and respect constraints) Uncertainty Quantification: building models that quantify uncertainty associated with
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | about 1 month ago
organizational skills LanguagesENGLISHLevelExcellent Additional Information Benefits We offer a structured doctoral training program, manifold activities, exciting research topics, a highly motivated and collegial
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on research problems involving the application of harmonic analysis to the equidistribution theory of point configurations in various domains including the unit cube, the unit sphere, groups, manifolds and
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microchannel manifold ensures precise drug delivery to various zones of the denture and the underlying gingiva and mucosa. Finally, by designing and implementing intelligent control system to automate the entire