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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
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urban feel and yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and