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discipline boundaries and abstraction levels is a must. Experience with control theory and spiking neural networks are a plus. Ability for collaborative work, interdisciplinary and cross-topical thinking. Very
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the fields of microsystem engineering, microdevices and microfluidics, intelligent systems programming and modeling, autonomous control and computer vision are preferred. The successful candidate should be
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The Organic Nanoelectronics group, led by Prof. Simone Fabiano, at the Laboratory of Organic Electronics, Linköping University, is now seeking a highly motivated doctoral candidate to join the
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available for a four-year term as part of the recently awarded ELSA Lab for Technical Industry (ELSA4TI) (funded within the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of
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. Ying Wang, prof. dr. Johannes H. Hegeman and prof. dr. ir. Peter H. Veltink. The candidate will closely collaborate with dr. Ying Wang and fellow team members and is also expected to closely collaborate
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at international conferences You will work here The research is embedded within the chair Experimental Zoology , led by Prof. Florian Muijres . You will be supervised by Dr. Antoine Cribellier .
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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29 Aug 2025 Job Information Organisation/Company Università degli Studi di Sassari Department Biomedical Sciences Research Field Biological sciences » Biology Researcher Profile First Stage
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are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates