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Field
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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energy system models based on the institute`s own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE. Your tasks in detail: Implementing geothermal plants with material co-production in
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scientific background and interests. This guarantees an optimal level of preparation for a high-profile career in research or industry. Course organisation In addition to the regular courses which are part of
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Framework Programme? Not funded by a EU programme Reference Number AE2025-0551 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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systems.1 Recently, during two PhD thesis, we optimized Sb2Te3 and Bi2Se3 layers to obtain significant nonlinear absorption. More specifically, the saturable absorption behavior obtained was the highest
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solution to support such a demand by getting inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from
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incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies
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Analytics Software Engineering for Distributed Systems Telematics Theoretical Computer Science Optimal Transport Work on a scientific topic aims to enable the student to understand complex scientific work
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their research goals and curricular content, ensuring optimal subject and interdisciplinary qualifications tailored to specific needs. Additional support is offered by the GraduateCenter. Course organisation Scope
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devices Optimization of waveguides for photon pair sources Design and characterization of sources of entangled quantum states. SiCPIC PhD student Qualifications Candidates must have a two-year master's