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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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investigations. At the subcellular scale, laser scanning confocal fluorescence microscopy (CLSM) and spectral fluorescence lifetime imaging microscopy (spectral FLIM) will enable spatial mapping
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors, topological insulators), performing high bandwidth and high sensitivity vector magnetic sensing and developing
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degree in a natural science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging
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science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 4 days ago
Training for Next Generation Scientists in Spatio-Temporal Imaging of Plant Cells” (AGILE) European project at the forefront of chromosome biology and microscopy (https://www.msca-agile.eu/ ) PhD Research
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(digitised signals, geopositioning data and inertial units, video/images) (punctuation: 15) Item 04: Personal interview. The interview will only be carried out with the 3 candidates with the highest score in
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APISID Use Used for targeting purposes to profile the interests of website visitors in order to display relevant and personalized Google advertising. Lifetime 6 months Name HSID Use Includes encrypted
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC