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skills courses Training in scientific programming and statistic software Project management, computer literacy Presentation, communication Writing papers, writing proposal Integral to our programme is our
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent
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analysis, application adaptability and integration, human computer interaction, security, and sustainability. To be and remain useful to their users, software systems not only need to offer the functionality
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and batch processing. These efforts provide the foundation for advanced analytics, machine learning, and AI applications. The IDE Research School guides PhD researchers by offering a platform for
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
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([email protected]). See also https://www.ch.nat.tum.de/pc/research/e-conversion/ and https://www.ch.nat.tum.de/hydrochemistry/environmental-and-isotope-analysis/ for more information. The position is suitable
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
) to investigate the interplay between electronic, orbital, spin, and lattice degrees of freedom. By combining femtosecond laser excitation with element- and orbital-specific soft X-ray spectroscopy, the research
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together a unique range of perspectives in a highly collaborative manner https://www.psych.mpg.de/2059163/research . Our Institute brings research and clinical care together, giving you direct access
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing