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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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among the nation’s top public universities for its commitment to research, innovation, social mobility, and public service. Classified as a R1 institution by the Carnegie Commission on Higher Education
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a one-year position. Duties/Responsibilities Research & Analysis (90%) Conduct independent research focused on integrating robust machine learning and statistical approaches with acoustic data
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. The Institute of Biological
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groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from
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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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translating innovation into real-world impact. The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) and the Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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comparable knowledge is demonstrated may be considered. Required Expertise: Candidates should have experience in: Modeling and design of MEMS resonators and acoustic wave devices Finite Element Analysis (FEA
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is responsible for independent and collaborative development, implementation, and analysis of scientific research in the discipline of atmospheric acoustics. In addition to research experience
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
. 12. S. Mo, W. Pian, and Y. Tian, "Class-incremental grouping network for continual audio-visual learning," ICCV, 2023. The postdoctoral researcher will contribute to the design, implementation, and