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conducting research into innovative electromechanical robotic systems integrated with advanced sensing technologies, enabling the autonomous detection, interaction with, and replacement of small items (less
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AWI, and with our partners in industry to develop the next generation of our in-situ sensing technologies to investigate carbon cycling in deep sea environments. Specific tasks may include but are not
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a high regard for producing for social media. Working with SoMe at SDU also requires a good sense of how a university can communicate. You will be involved in dialogues about this. We encourage you to
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. The system will include: A very compact, ultra-low-power analog front-end (AFE) to sense neural signals. An on-chip neuromorphic processor to convert the neural data into spike-based encoded data and
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-friendly living conditions in a historic city with an urban feel where nature and other recreational areas are never far away. The city has excellent connections with public transportation to Aarhus and
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collaborative and social abilities. Prior experience with metabolomics, transcriptomics, bioinformatics, and imaging is a plus. For more information, please feel free to contact Per Svenningsen at psvenningsen
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independently and as part of a team. We expect you to have a curious learning mentality. You have a strong sense of responsibility. You must be enrolled as a student at SDU. The starting date is 1. September 2025
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(particularly in C/C++ and Python) Ability to work independently as part of an agile team, with a strong sense of responsibility Willingness to engage in application-oriented R&D, by closely interacting with
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information For further information about the position, the Morality of Extreme Wealth project, and the SDU Philosophy Section, feel free to contact Associate Professor, Lasse Nielsen (lasseni@sdu.dk
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project, and the SDU Philosophy Section, feel free to contact Associate Professor, Lasse Nielsen (lasseni@sdu.dk ). For questions related to CV, diplomas etc., please contact humfak-hr@sdu.dk Working