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Field
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. One main research activity is the participation in the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. We invite applications for a Postdoctoral position (f/m/d) in experimental particle
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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analyzing data from large cohorts, ideally within the NAKO German National Cohort Experience in teaching epidemiology to students Desirable qualifications Experience in the field of metabolic diseases
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. The position is part-funded by the Horizon Europe project "Consolidating plans for the Atacama Large Aperture Submillimeter Telescope (AtLAST)“. Half of the time will be spent engaging with the AtLAST design
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description: AG Weinelt is searching for a Postdoc in the field of Ultrafast Spin and Electron Dynamics, who is experienced in performing time-resolved X-ray spectroscopy experiments at large-scale facilities
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with large-scale data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired - Interest in the development of software systems, very good knowledge and skills in programming with standard
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-medicine research groups and big data analyses (statistics) • interest in behavioural biology, animal welfare and laboratory animal science • very good command of English, both written and spoken • a keen
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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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the integration of large-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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of element-specific investigation of functional magnetic materials at large research facilities. In addition, you will be involved in the implementation and execution of courses and administrative tasks.