48 computer-vision-and-machine-learning PhD positions at University of Groningen in Netherlands
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description The PhD researcher will work in the project “Joint
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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score of at least 237 on the computer-based form of the Test of English as a Foreign Language (TOEFL); or A score of at least 92 on the internet-based test of the Test of English as a Foreign Language
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in academic writing in English; preferably mastering some Dutch or willing to learn Dutch. A keen interest in the topics to be investigated in the project, preferably demonstrated by previous work
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Netherlands Application Deadline 30 Oct 2025 - 23:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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) Country Netherlands Application Deadline 15 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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spoken English. Strong analytical skills. Willingness to acquire a variety of additional skills ranging from physics modelling and statistical data analysis to hardware programming. PhD researchers
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also be requested to teach. This PhD project offers a unique opportunity to develop yourself as an academic researcher and to work local and international research contexts. The PhD project The IJssel
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative