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Starting Date: December 2025 - April 2026 Closing Date for Applicants: 15 November 2025 Duration: 3 years with a possible extension (individual duration for Postdocs). Project and Job Description Data-driven
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-edge field of Human-Centered AI Technologies using advanced Generative AI and novel interaction technologies. Potential Ph.D. projects may focus on large language model (LLM) research. Ph.D
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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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. 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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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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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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-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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 22 days ago
environmental factors Your profile Degree in the life sciences & completed doctoral degree in epidemiology Experience in analyzing data from large cohorts, ideally within the NAKO German National Cohort