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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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profile in geo, environmental, energy, and material sciences. In this environment, we are a strongly mathematically oriented research group with a focus on the analysis of various problems in geophysics (in
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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at the Faculty of Mathematics at TUD. Tasks: generation of hyper uniform patterns (point, scalar and vector fields) application of topological data analysis tools such as persistent homology and graph statistics
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. This is based on perspective and
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(Huybrechts), Global Analysis (Mueller), Topology (Barthel, Bottman, Ozornova, Ray, Schwede), Geometric Topology (Avramidi, Stadler), Representation Theory (Stroppel) and Mathematical Physics (Klemm, Blohmann
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
of dynamic single-molecule datasets from MINFLUX and MINSTED experiments to study biomolecules with optics. MINFLUX and MINSTED have unlocked the door to unique minimally invasive, low-light-level analysis
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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI
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science with demonstrated experience in quantitative analysis. We are looking for a range of talents and expertise, including in machine learning, mathematics, or statistics. Experience with one of the focus