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the use of instrumental analytical methods such as HPLC-MS, GC-MS knowledge in the preparation of plant tissues for the extraction of natural substances experience in the application of molecular biological
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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infections We offer: Modern laboratories, incl. BSL3Bi State-of-the-art analytical instrumentation (spectral analyzer, sorting facility, single cell genomics pipelines) Ample biological profiling platforms (in
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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. • Interdisciplinary Perspective: Integration of historical and analytical approaches with modern concepts from innovation and team research The study places particular emphasis on the “moment of creative breakthrough
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investigated with regard to decontamination efficiency. The analytical focus is on positron emission tomography, computed tomography, and autoradiography. A cyclotron and a radiochemistry laboratory are
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics.” **Positions Available** We invite applications for Doctoral Researchers with a strong background in machine learning and an
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and