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diversity dimensions to the university. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal
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your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis .
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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operations. Visual and map data are efficiently compressed, fused, and synchronized to sustain robust operation in dynamic urban or disaster-management scenarios. By integrating autonomous UAVs as active
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37077 Göttingen Germany Web: https://www.mpinat.mpg.de/grubmueller Social Media: CompBioPhys Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during
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-up data collection is ongoing. Your role in detail As a PhD candidate, you will Conduct research in molecular epidemiology of aging in humans, with a focus on epigenetics and proteomics Perform
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maintenance of exchange platforms (database, information pages, etc.) summarizing the results of the individual PhD study project in a dissertation within the due time of three years Successful candidates will
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improve the sustainability, the energy efficiency and the safety of industrial processes. The Department of Department Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d
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individually and in concert with others; cooperative maintenance of exchange platforms (database, information pages, etc.) summarizing the results of the individual PhD study project in a dissertation within the
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surrogate models and the underlying physical processes governing sensor behavior identify and validate sensor models using measurement data obtained from reference trajectories and high-accuracy positioning