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Introduction to Computational Audiology
Computational Audiology: new ways to address the global burden of hearing loss
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Introduction to Computational Audiology
Computational Audiology: new ways to address the global burden of hearing loss
Funding
Resources
Research agenda & Mission
VCCA2023
VCCA2023 – Overview
VCCA2023 – Call for abstracts
VCCA2022
VCCA2022 – Overview
VCCA2022 -Program Highlights
VCCA2022 – Program
VCCA2022 -Why a virtual conference?
VCCA2022 – Call for abstracts
VCCA2022 -Registration
VCCA2022 – Scientific Committee
VCCA2022 – Organization
VCCA2022 -Sponsors
VCCA2021
VCCA2021 -Overview
VCCA2021 -Program Highlights
VCCA2021 – Video Pitches
VCCA2021 – Conference Program
VCCA2021 -abstracts
VCCA2021 -Registration
VCCA2021 -Scientific Committee
VCCA2021 -Organization
VCCA2021 -Sponsors
VCCA2020
VCCA2020 -introduction
VCCA2020 -Why a virtual conference?
VCCA2020 -Scientific Committee
VCCA2020 -Organization
VCCA2020 -program
VCCA2020 – Registration
VCCA2020 -social events
VCCA2020 – COVID resilience
VCCA2020 -sponsors
For Professionals
Resources
Repositories (Zenodo)
Automated Audiometry
Events
Computational Audiology TV
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Machine Learning for Hearing Aid Signal Processing
Post-Doctoral Researcher
UK
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PhD position in experimental methodology and ML at UCL
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Research Assistant in the Deep Hearing Lab
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PhD scholarships: on acoustic augmented reality & next generation batteries
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Using machine learning to characterize the impact of hearing loss on neural coding
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Research Fellow – COG MHEAR
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UK
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PhD Studentship (3 years) Optimisation of a Speech-In-Noise test for Auditory Fitness for Duty
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