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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | about 22 hours ago
01307, Germany [map ] Subject Areas: algebraic topology, applied topology, data analysis Appl Deadline: 2025/11/16 11:59PM (posted 2025/10/14, listed until 2025/11/16) Position Description: Apply
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characterisation of plasma-chemical processes and plasma-surface interactions, and in particular: to operate and maintain a two-photon absorption laser-induced fluorescence experiment (TALIF); to quantify densities
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analysis of RNA structure (SHAPE, ILP) Experience in the use of a synchrotron Experience with small angle X-ray and/or neutron scattering Driving licence German language skills (B1 level or higher) A
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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Center CRC1690 (Disease Mechanisms and Functional Restoration of Sensory and Motor Systems, https://sfb1690.uni-goettingen.de) and the newly founded Else Kröner Fresenius Center for Optogenetic Therapies
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 24 days ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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: This work will be performed as part of an agile team unified by a common goal: An Industry partner from semen production provides fresh sperm cells and pre-analysis. A second industry partner from data
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/ Terrestrial Paleoclimate (Full-time / part-time options are available) Location: Frankfurt Employment scope: Full-time / part-time options are available Type of contract: The contract should start ideally in
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: This work will be performed as part of an agile team unified by a common goal: An Industry partner from semen production provides fresh sperm cells and pre-analysis. A second industry partner from data
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hosts. The project is centered on the integration and analysis of multiomics datasets utilizing advanced machine learning approaches and biological network analysis. The successful candidate will join an