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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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. Though the primary job location is in College Station, the successful candidate will travel to field sites in south Texas to collect samples and assist with acoustic monitor deployment and maintenance
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environment for ambitious researchers seeking to work at the forefront of bioengineering. The Opportunity We are seeking a highly motivated PhD Student or Postdoctoral Researcher (f/m/d) to develop the next
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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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the areas of phononics, acoustic and elastic metamaterials, mechanical intelligence, and thermoacoustic energy management. The successful Postdoctoral Associate candidate will: Perform research surrounding
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» Materials engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD (third-cycle university degree) in a technical field, such as Materials Engineering, Surface Engineering, or Physics. Proven
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
, objects, and acoustic/visual conditions. Continual audiovisual adaptation: development of methods enabling the perception modules to adapt on-the-fly to distribution shifts (new speakers, new environments
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mapping, kelp forest condition, acoustic soundscape indices, or biodiversity metrics derived from environmental DNA (eDNA), spanning upland to marine ecosystems. This work will advance scaling relationships
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are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD required Knowledge of optics and optical imaging Knowledge of optical
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of Electrophilic Small Molecules, ChemRxiv 2026 doi: 10.26434/chemrxiv.10001482/v1 M Hu*, D J Blair* High-throughput reaction screening using acoustic ejection mass spectrometry, Nature Protocols 2026 doi: 10.1038