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Field
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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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background in data sciences we ask: Insights in the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data as a basis for
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techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data as a basis for the execution of the dietary intervention trials Ability to apply machine
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microbiomes, and antibiotic resistance in large population cohorts and big data to help mitigate the global antimicrobial resistance (AMR) crisis. AMR is one of the biggest threats to human health and is
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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lead, you will implement computational quality control and analysis pipelines for various types of omics data from clinical samples from the lung, and assist wet lab-oriented post-docs and PhD students
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continuous-variable quantum computing using 3D cluster states and hybrid (photon number + quadrature) detection. TopQC2X (Innovation Fund Denmark): Experimental primitives for topological quantum computing
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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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-funded consortia FOODGUARD (www.foodguard-project.eu/ ) and NUTRIMMUNE, the Cluster of Excellence “Balance of the Microverse” (www.microverse-cluster.de ), the CRC/Transregio 124 “Pathogenic Fungi and
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. This is enabled by an ambitious farm based infrastructure with large scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international