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resonance energy transfer, siRNA mediated gene knock out, cellular imaging, qPCR, etc.) to elucidate unknown interactions between GPCRs and receptor tyrosine kinases at the cellular level. Analyses will focus
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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training that prepares young scientists for a successful career in infectious disease research. The LIV technology platforms offer state-of-the-art infrastructure for flow cytometry, microscopy and image
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 days ago
for deciphering organic matter dynamics in the Arctic Ocean (f/m/d) Background The Helmholtz School for Marine Data Science (MarDATA) is looking for a graduate in computer science, computer engineering, applied
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
Description Offer Description PhD student positions will become available in the Institute for Ophthalmic Research (IOR) at the University of Tübingen (Germany) and the Institut de la Vision (IDV
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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organoids, single cell multiomics, live cell imaging, and animal models. Tasks: to actively pursue the PhD project with the aim of characterizing the molecular and functional mechanisms of epithelial
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-marburg.de/en/fb20/departments/bpc/pharmatoxikol ). The PhD project is funded by the German Research Foundation as part of the Priority Programme SPP 2493 (https://www.uni-saarland.de/forschen/hetcci.html
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent