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We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
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well as part of a team. They will be expected to contribute to scientific publications, conference presentations, grant applications and dissemination activities, while working within a highly collaborative
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is led by University College Cork with partners Exceedence Ltd and Wind Energy Ireland, and with Flotation Energy, Simply Blue Group, ESB and the Marine Renewables Industry Association as collaborators
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the content of the science they study. You will be an active member of RCNP. You will collaborate with the other postdoctoral researchers, PhD candidates and senior investigators, participate in seminars and
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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fixed term of 2 years, with a possible extension to a third year. The project is funded by the Centre of Excellence in Quantum Materials (QMAT) and will be carried out in close collaboration with
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species, a storm-exposure hazard index, and bark-beetle susceptibility signals, designed in collaboration with regional authorities and forest owners associations. As part of this work, the project will
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novices and experts on a task and map their learning trajectory. What are you going to do? You will be responsible for coordinating and carrying out this project, in collaboration with the two PIs (Jelmer
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
human (human/robot) approach, in which a robot sidekick accompanies and supports a human agent in a triadic collaborative task — much as Ananda supported Buddha. The project is coordinated by Fabrice
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coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment