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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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disease-relevant cellular models of EBV-infected B cells, modulate ERAP2 activity, and read out the downstream consequences for antigen presentation, NK and CD8+ T cell cytotoxicity, and B cell survival
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mechanisms of T-cell recognition. These discoveries will support the development of next-generation vaccine-based therapies, ultimately contributing to improved outcomes for patients with cancer. Finally, you
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values conducting these activities in a safe and inclusive environment and provides space for new developments such as Open Science, Recognition and Reward, and interdisciplinarity, which are anchored in
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Activities (PEAs) and their outputs. In response, this project will develop strategies for making PEAs more visible in OS monitoring exercises, with an eye toward supporting greater recognition and reward
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evidence. The aim of this project is to investigate thoroughly whether tVNS genuinely improves cognitive functions. For detailed project information, see: https://rb.gy/wmiqqk (project WP1) Your
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Postdoctoral Researcher position on Increasing the visibility of public engagement activities and their outputs for Open Science monitoring (INCVIS) Given its potential for facilitating science
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, including (but not limited to) approaches such as affective computing and emotion recognition. A strong interest in the intersections between materials, the body, and technology, including (but not limited