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software. Pre, mid, and post-training, adaptation, and evaluation of large language models and foundation models for biological, genomic, and phylogenetic tasks. Reliable, reproducible, and auditable AI
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enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and
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22 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage
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programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded positions for doctoral researchers in the field
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solutions that combine low energy consumption with reliable and safe operation in compliance with relevant standards and regulatory requirements. A key scientific challenge addressed in this project is the
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
, with a focus on LSF and DGS. Rather than concentrating only on the final translation model, the PhD will address the upstream components that are essential for reliable sign-to-text translation: data
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quantification will enhance the reliability of calibrated parameters. Overcoming challenges like dimensionless indices, varying machine types across disciplines, and multi-parameter dependencies, the project aims
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environmental and climate change. The research will explore how environmental variables and emerging observation technologies can be combined to improve the long-term reliability, responsiveness, and usability
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Mining Engineering - IV-26/26 Apply for this job See advertisement This is NTNU
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as: How can AI systems reliably identify implicit and evolving forms of misogynistic discourse beyond explicit hate speech? What computational measures can be developed to detect misogyny, benevolent