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cells from different mouse models with accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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of Cape Town (UCT) and the University of California Irvine (UCI). In the healthcare sector, both in emergency medicine, outpatient and inpatient care and in public health, important data about patients are
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 27 days ago
, Computer Science, or related fields. Visit the IMPRS-LM website for more information about the program, the application process , and the list of research group leaders currently offering positions
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environment. For more information about the Program for Collaborative Doctoral Projects, please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering an interesting Collaborative Doctoral
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
23 Aug 2025 Job Information Organisation/Company Karlsruher Institut für Technologie (KIT) Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 12
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formation under conditions as natural as possible along the gradient. We will measure 13CO2 fluxes in the field and combine these data with the incorporation of the 13C tracer into different SOM fractions
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of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are The Research Training Group RTG2670 – Beyond Amphiphilicity in the second funding phase
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) dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data a comprehensive
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-type hydrogels Linkopings Universitet (LiU): development of the neurohybrid network The work will be done in close collaboration with the other members of the FADOS network. Further information