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, therefore, especially encourages them to apply. Further information: Please contact Prof. Dr. Gianni Panagiotou | https://www.leibniz-hki.de/de/mbd-mitarbeiter-innendetails.html?member=865 | +49 3641 532
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
) in Garching, led by Prof. K. Nandra. MPE is a world-leading institute in space- and ground-based experimental astrophysics, with leading roles in a number of large astronomical projects. The high
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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to constitute a hospital-university institute (IHU) from 2025. This Institut reConnect will tackle the topic of big data in audio-vestibular patients and the work performed by the engineer will form a solid basis
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developing and patenting new IP, with great impact for the fusion and materials communities. The successful candidate will join A/Prof Patrick Burr’s diverse and multicultural research group. To learn more
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training students Maintain analytical equipment Cooperate with other large collaborative projects of the research group Qualification: Required: A diploma and a PhD in microbial natural product chemistry
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will be destroyed according to data protection regulation. For further information regarding the position and research unit, please contact Prof. Dr. Deniz Tasdemir by e-mail (dtasdemir(at)geomar.de
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groups that are historically underrepresented in physics departments. These researchers will work with Prof. Michael Troxel to lead large-scale structure (weak lensing and galaxy clustering) projects
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clustering and large scale structure, and dust and gas at high-z. Applicants with experience in observational extragalactic astrophysics are encouraged to apply; those with expertise in optical/near-infrared
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Forestry, Earth Science, Computational Science, or related fields. Ph.D. research experience in wildfire engineering, fire science, landscape modeling, or related topics. Experience in working with big data