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the durability of materials and improve recycling processes. Be part of this change and explore cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy
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measurements for degradation performance. A range of Mg- and Zn-alloys will be produced at Uppsala Universitet in cooperation with doctoral candidates there, to reveal process-performance correlations and
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doctoral candidates there, to reveal process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro
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learning, or signal processing; familiarity with microscopy data is an asset but not required Interest in foundational machine learning research with applied impact in scientific imaging Demonstrated
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to 80% of host cell hemoglobin during its intraerythrocytic development. This process depends on endocytosis at cytostomes – specialized invaginations of the parasite surface – followed by trafficking
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institution. Biomolecular condensates have emerged as a new paradigm to understand biological functions in living cells. Dresden has pioneered research in the field of biomolecular condensates and developed
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sustainable, there is an urgent need for innovative solutions to reduce carbon emissions during synthesis, enhance the durability of materials and improve recycling processes. Be part of this change and explore
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contributes to neurodevelopmental disorders (NDDs). Using stem cell culture, imaging, genomic, and epigenomic approaches, the successful candidate will characterize paralogue expression profiles, cellular
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
at international meetings, workshops and conferences Preferred Qualifications and Skills Experience with AI-based image analysis Trained drone operator Familiarity with ship-based whale survey methods Further
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the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will strengthen the data science and machine learning activities of the IAS-9 with