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of this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture
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:100% of the full-time weekly hours Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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of Digital Fabrication , as part of the Department of Architecture at the TUM School of Engineering and Design . What we offer We offer a fully funded PhD position in an interdisciplinary academic environment
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PhD, the beginning of your scientific career as a junior scientist at Fraunhofer IPMS or becoming an engineer. We support you in this process! Fraunhofer IPMS has been developing IP cores as
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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 10 hours ago
conceived research proposals that align with IOER’s research. The programme aims to equip PhD candidates with the knowledge and skills necessary to successfully complete a doctoral dissertation, which may be
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database architectures. Automate deployment pipelines, manage cloud infrastructure (e.g., GCP, AWS), and ensure system reliability, security, and performance throughout the full development lifecycle. Work
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare