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PhD Candidate: Computational Cognitive Science at the Donders Centre for Cognition
Gevonden in: Talent NL C2 - 2 dagen geleden
Radboud University Nijmegen, NederlandIn this PhD project, titled 'Cognitive capacities and machines: Why do calculators exist, if AGI cannot?', you will adopt various meta-theoretical and meta-theoretical methodologies (including literature review, conceptual engineering and formal analysis) to study and characteris ...
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PhD Candidate in the Cognitive Neuroscience of Subjective Experience at the Donders Centre for Cognition
Gevonden in: Talent NL C2 - 6 dagen geleden
Radboud University Nijmegen, NederlandThis PhD project aims to address a primary challenge of consciousness research: to explain phenomenological properties of conscious experience in terms of neural processes. You will investigate how sensory predictions determine individual differences in the subjective experience ...
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PhD Candidate: Neurocognitive Mechanisms of Alternative Thinking at the Donders Centre for Cognition
Gevonden in: Talent NL C2 - 2 dagen geleden
Radboud University Nijmegen, NederlandThis project aims to understand the neurocognitive relation between the development of referential communication and emotional action control, testing the hypothesis that both rely on the capacity of generating different hypothetical scenarios with different action options, and t ...
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PhD position in the Multimodal Language Department
Gevonden in: Talent NL C2 - 2 dagen geleden
Max Planck Institute for Psycholinguistics Nijmegen, Nederland VoltijdJob description · Reference is one of the most basic functions of language and therefore, all languages in the world have reference systems that allow conversational partners to coordinate on an intended referent. Demonstratives, for example words like 'this' and 'that' in Engl ...
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Promovendus: Leesevolutie, digitaal lezen in het vmbo
Gevonden in: beBee S2 NL - 2 dagen geleden
Radboud Universiteit Nijmegen, Nederland VoltijdEen app met AI om lezen in het vmbo te stimuleren? Dat gaan we ontwikkelen in co-creatie met scholen en een start-up bedrijf. Ook gaan we onderzoeken wat werkt voor wie in dit onderzoeksproject dat onderdeel is van het NWA project, genaamd Leesevolutie. · Als promovendus voer je ...
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Kansen en uitdagingen in begrijpend lezen van digitale teksten door kinderen
Gevonden in: beBee S2 NL - 2 dagen geleden
Radboud Universiteit Nijmegen, Nederland VoltijdWat maakt het lezen van digitale teksten voor kinderen anders? En hoe ziet een interventie eruit voor bovenbouw primair onderwijs waarin we kinderen leren omgaan met het begrijpen van meerdere digitale teksten? Dat ga je onderzoeken in dit PhD project, onderdeel van het NWO-vici ...
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Usability Engineer
Gevonden in: beBee S2 NL - 2 dagen geleden
Philips Best, Nederland VoltijdJob Title · Usability EngineerJob Description · Make sure that our products exhibit an excellent User Experience. You build and execute the usability plan and activities and work in the different stages of the design process to identify areas where usability, safety and the overa ...
PhD Candidate: Audio AI for Technological and Neuroscientific Applications at the Donders Centre for Cognition - Nijmegen, Nederland - Radboud University
Beschrijving
Universal audio embedding models capable of performing a humanlike range of hearing tasks have numerous technological applications (e.g. augmented hearing, assistive hearing technology) as well as neuroscientific applications (e.g. models of neural encoding). This project aims to leverage self-supervised learning approaches to develop universal audio embedding models which are capable of encoding the full complexity of real-world sound scenes, including the spatial dimension. As part of the research group, you will work with experts in machine learning, digital signal processing and computational auditory neuroscience on new algorithms for real-world, spatial audio representation learning.
Research direction
In this multidisciplinary PhD project, you will focus on designing, implementing and evaluating state-of-the-art self-supervised deep neural network models for universal audio representation learning. You will utilise quantitative analysis techniques to unravel the properties of such universal audio embeddings and employ the developed models and embeddings in a neuroscientific application to investigate brain encoding of real-world sound scenes.
Teaching
You will dedicate 10 % of your working time to teaching activities at undergraduate and postgraduate levels.
