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should be directed to Prof. Frank Schimmelfennig at [email protected] (no applications) About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur | Eggenstein Leopoldshafen, Baden W rttemberg | Germany | about 2 months ago
character and one of the largest non-university institutions of its kind in Germany. Information Service Engineering (ISE) at FIZ Karlsruhe investigates models and methods for efficient semantic indexing
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candidate with a MSc degree (or equivalent) in neuroscience or a related discipline; or an MSc degree in a quantitative discipline (e.g. physics/biophysics, mathematics, engineering) with strong interest and
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knowledge for transitions to a sustainable future with a high quality of life for the global community. Our research focuses on the interactions between technology, society and nature. We use a systems
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23 Feb 2024 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Technology Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country
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, Information and Technology, which provides the potential for many collaborations. TUM Campus Heilbronn is home to students and faculty from more than 50 countries, as the entire curriculum is taught in English
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100%, Zurich, fixed-term The Chair of Applied Macroeconomics is associated with the KOF Swiss Economic Institute and is part of the Department of Management, Technology and Economics (D-MTEC
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models such as Processing In-memory. Investigation, benchmarking, and algorithms design for emerging HPC interconnect technology (e.g., in-network compute and SmartNIC); Application Procedure: Please
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Challenge: Evaluate the climate impacts of disruptive aircraft engine technologies via numerical studies. Change: Improve the understanding of the climate impact of multi-fuel combustion systems
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. Study the literature on analysis techniques and attacks to propose and implement new side-channel evaluation methodologies adapted to the context of DNNs (recovery of parameters/inputs, reverse-engineer