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Field
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PhD Position in Natural Language Processing in the Junior Research Group Human-in-Control (Application deadline: 02.11.2026)One doctoral scholarship, funded by the Hans Böckler Foundation, will be
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grounded interpretation. Working closely with researchers in natural language processing and literary studies, the candidate is expected to: construct datasets and benchmarks linking literary passages
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Job Description Are you interested in developing event-driven, energy-efficient methods for processing real-world acoustic signals, grounded in the physics of sound and the computational principles
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Aachen Date: Oct 9, 2026 Thesis: 3D Glass Processing Using Selective Laser
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phenomena that can be probed at the Large Hadron Collider at CERN as well as at future facilities. The theorists use the current Standard Model of particle physics, as well as credible extensions of it
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the webinars and virtual Open Days, advertised on our website Applicant Webinars – Designing Responsible Natural Language <b>Processing</b> and LinkedIn platform (8) Designing Responsible Natural Language <b>Processing</b>: Overview | LinkedIn Any further questions should be directed to:...
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Topological photonics with integrated atomically thin van der Waals materials for efficient quantum optical processing (S3.5-MPS-Krizhanovskii) School of Mathematical and Physical Sciences PhD
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consolidation? Functional MRI of visual predictions in cortex Investigating the effects of expectation on cortical feedback processing using fMRI Investigation of the somatosensory coding mechanism in the
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evaluate health hacks, and why some hacks are so persuasive, focusing on the interplay between individual characteristics, features of the online context, and cognitive processing during exposure
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel