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are particularly encouraged to apply. The PhD specialisation in economics aims to give dedicated graduates a solid training in performing high quality scientific research in economics, making use of state of the art
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The development of a dedicated test stand for high-power RF testing of the superconducting accelerator cavities. Other tasks include: Participation in operation of first cryogenic module of HELIAC Participation in
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, generally used in all-solid-state lithium-ion batteries, face hurdles like low ionic selectivity and conductivity, brittleness, chemical instability, and high production costs. Driving Li⁺ migration often
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between reliability, performance, computational efficiency, and adaptability under uncertainty. The candidate will be affiliated with CRADLE (Center for Robotic Autonomy in Demanding and Long-Lasting
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | 2 days ago
candidate must: hold or be about to receive a Bachelor's or Master's degree in Computer Science from a research-oriented institution of higher education have outstanding academic performance (rank at or near
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package on monitoring and simulation of neighbourhood-level energy performance using aerial thermography and ground-based measurements. Develop ML/AI based building heat transfer and loss, indoor
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Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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neuromorphic circuits. We will also simulate high-efficiency spiking neural networks (SNN) and build neuromorphic sensory systems to validate performance and explore broad biomedical and other potential
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transport, high-performance mechanical seals are essential. These seals prevent gas leakage by maintaining a sub-micron-thin layer of hydrogen between a rotating ceramic face and a stationary face. The
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specialized algorithms supported on solid theoretical foundations and with a focus on challenging aspects of very high-dimensional datasets, such as datasets encountered in the computational biology and