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The PhD position is part of the MSCA Doctoral Network PANDORA on discovering Pathomechanisms and Novel Drug Optimization for AMD (Age-Related Macular Degeneration). AMD is the most common cause of blindness
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studies have demonstrated the limitations of current ground- and satellite-based observational networks. The PhD project aims for a new method to derive ground-level concentrations from satellite-based
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. Where to apply Website https://www.career.tu-darmstadt.de/tu-darmstadt/job/56424 Requirements Research FieldMathematics » Discrete mathematicsEducation LevelPhD or equivalent Skills/Qualifications We seek
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priorities of the Department of Mathematics and Computer Science by establishing a dedicated research group on optimization and will actively participate in research networks and initiatives within
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position - "Smart preparation of air pollutant satellite retrievals for optimizing emission inventory data" within the HDS-LEE
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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at the industrial scale. JOIN OUR NETWORK! Website for additional job details https://www.mpikg.mpg.de/career Work Location(s) Number of offers available1Company/InstituteMPIKG - Max Planck Institute of Colloids and
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to provide scalable, faster-than-real-time capable methods and tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This postdoctoral position
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of electron-transparent TEM lamellae and specimens Operation and optimization of ultrafast laser systems (fs–ps range) and optical setups Characterization of electrostatic potentials and excited carrier
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
tissue analysis. Your tasks Develop AI-driven virtual staining pipelines for the analysis of cancer tissue samples Design, train, and optimize generative AI models that transform unlabeled or 3D tissue