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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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science, societal engagement, or science policy. Experience with quantitative and/or qualitative research methods; experience with bibliometric or scientometric methods is a strong advantage. Familiarity
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Science landscape in the Netherlands Experience working with qualitative and co-creation methods, including expert interviews and focus groups Familiarity with Public Engagement Activities used in academic
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within representations and across tasks. The resulting methods will help bridge the gap between general-purpose foundation models and expert-level performance in specialised domains. The successful
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ethos and an ability to work independently Demonstrated understanding of the Open Science landscape in the Netherlands Experience working with qualitative and co-creation methods, including expert
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enabling foundation models to efficiently specialise through the exploitation of structure within representations and across tasks. The resulting methods will help bridge the gap between general-purpose