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develop and evaluate semi automated machine learning techniques for content analysis adapted to handwritten documents and early printed books. These approaches will build upon existing optical character
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candidates to teach at the introductory, intermediate, and advanced levels, in both classroom and laboratory settings. We are seeking candidates who can demonstrate their experience in teaching or working with
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onderwijs – tto) schools with a linguistically diverse student population. We will investigate how inequalities can be reduced and learning can be promoted through Functional Multilingual Assessment (FMA): a
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learning university. In this competition, experience in research and/or development in Large Language Models (LLM) and their respective applications is valued. Where to apply Website https
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Researcher (R1) Positions PhD Positions Application Deadline 7 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 29.025 Offer Starting Date 1 Oct
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(SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise
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caregiver consultation hours, we support you in every phase of your life. Growth and development Our online learning environment offers a wide range of training courses, e-learnings, and educational programs
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interdisciplinary reach into the Greater Bay Area and beyond. For more information about HKUST, please visit: https://hkust.edu.hk The HKUST School of Medicine HKUST is embarking on a landmark initiative to establish
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HKUST, please visit: https://hkust.edu.hk The HKUST School of Medicine HKUST is embarking on a landmark initiative to establish the third medical school of Hong Kong following the successful proposal
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract