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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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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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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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(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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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
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and implementing transport to Wettzell, installation, optimisation, operation, enhancement, measurement campaigns during the ACES mission, data analysis. The scientist will also contribute to enhance
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Mathematical Sciences at the University of Göttingen as well as the associated research training groups "Fourier Analysis and Spectral Theory" and "Discovering structure in complex data: Statistics meets