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of two referees to Dr. Andrew Kandel a.kandelspam prevention@uni-tuebingen.de , University of Tübingen, Germany. Application documents should be sent by email, preferably as a single PDF file, by 4 March
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, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging
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is expected. Background Information: Nat. Chem. 2015, 7, 105; Chem. Eur. J. 2019, 25, 4590; Angew. Chem. Int. Ed. 2019, 58, 418; Nanoscale 2021, 13, 19884. www.sengegroup.eu https://www.ias.tum.de
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. Presentation costs cannot be refunded. For further information please contact Prof. Dr. Dominik Paquet, phone +49 89 4400 - 46123. Apply now LMU Klinikum – Campus Großhadern Institut für Schlaganfall- und
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on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
no later than February 15, 2026. Please note applications received via E-mail cannot be considered, we apologize for any inconvenience this may cause. Contact For further information, please contact Dr
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 hour ago
) are basic research institutes that foster collaborations between theorists and experimentalists. Their research program spans across scales from molecular assemblies to the formation of cells, tissues, and
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The Center for Systems Biology Dresden (CSBD) is seeking applications for ELBE postdoctoral fellows The ELBE postdoctoral fellows program welcomes independent researchers on the postdoctoral level
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding
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. For further information about the project, please feel free to contact PD Dr. Daniel Schneider, Tel: 0231 / 1084-265, E-Mail: schneiderd(at)ifado.de . Interested? Then please send your application documents (CV