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18 Apr 2026 Job Information Organisation/Company ETH Zürich Research Field Engineering » Biomedical engineering Medical sciences » Other Neurosciences » Other Psychological sciences » Psychology
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systems are built upon fixed ground infrastructure, such as terrestrial base stations. This stationary deployment lacks the necessary flexibility to adapt to dynamic environments. In scenarios where ground
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-processing and preparation of environmental samples, including filtration, digestion, separation, contamination control, storage and organisation of samples, as well as for the adaptation and implementation
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interaction and perception modalities and control methods to increase robustness across diverse robot configurations with the overall goal to realize intelligent robotic systems to operate safely, reliably, and
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12th May 2026 Languages English English English We are looking for a PhD Candidate in Acoustic Performance of Photovoltaic Systems in Noise Control Applications Apply for this job See advertisement
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BeFC and Univ. Grenoble Alpes, CNRS, 38000 Grenoble, France | Grenoble, Rhone Alpes | France | 7 days ago
DCM are looking to explore new opportunities to extend the performance of biofuel cell technology in terms of peak power, energy, longevity, and thermal stability. The goal is to develop quasi-solid
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, knowledge of instrument control systems and software, ion beams and ion optics, programming Additional Information Benefits A challenging and meaningful position for 40 hours per week. A collegial team in
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of Psychological and Brain Sciences hosts a thriving neuroscience community. The CAMP Lab is a member of the Cognitive Control Collaborative and affiliated with the Iowa Neuroscience Institute and the Department
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17 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Agricultural sciences » Agronomics Agricultural sciences » Phytotechny Engineering » Control
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& Solar Power Plants Battery Energy Storage Systems (BESS) Smart Grids & Power Systems Sustainable buildings, communities and cities[EC1.1] Artificial Intelligence & Machine Learning for Energy Digital