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Field
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, and adaptive signal processing to improve the confidentiality, integrity, and authenticity of wireless communications. The Chair of Theoretical Information Technology at TUM offers a position as
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these aspects. The ambition of the FairCFD network is to work towards the establishment of sustainable CFD as a new paradigm within the community of academic, industrial and educational actors, advancing
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the structure and function of microbial communities in Antarctic marine sediments. Fermentative microorganisms play a key role in the initial anaerobic breakdown of organic polymers, supplying substrates
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scenario-based modelling and simulation Develop and implement models for the simulation and analysis of coupled electricity and gas networks, with a focus on large-scale European energy infrastructures
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
on the glymphatic system, a brain-wide fluid transport network that facilitates the clearance of metabolic waste and neurotoxic proteins from the central nervous system. Growing evidence suggests that impaired
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technologies and developing space missions; 2) Provide them with a wide range of transferrable skills, such as Open Science and FAIR, communicating science to public, advocacy, networking etc.; 3) Develop
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Degree PhD Course location Hamburg Teaching language German English Languages Teaching is delivered in both English and German (tailored to the individual needs of the students). In agreement with
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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your finances. ✔ A thriving scientific community – Collaborate across the BIOPOLIS DRESDEN campus, including university institutes, Max Planck institutes, and the university hospital. ✔ State-of-the-art
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on massive datasets that exceed the capabilities of single-node systems. A key objective is the development of efficient iterative algorithms for training networks based on random features, which can be