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application! We are looking for three (3) PhD students to the new national center for cyber-resilient AI RESIST with the following topics: Secure AI-supported software development Resilient Agentic AI End
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skills in written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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the PhD requirements within the project framework. This helps us understand your thought process, technical perspective, and approach to problem-solving. • Contact details of two referees • Bachelor’s
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2026 (September-November) and Winter Term 2027 (January-March). We seek a composer working with music notation (broadly defined), music/sound creation software and programming environments, and
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of the following topics: data collection, information extraction using large language models (LLMs), machine learning (ML), natural language processing (NLP) Expertise in software development with
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
commercial software tools for spatial data processing. Where to apply E-mail kadri@kis.si Requirements Research FieldAgricultural sciences » PhytotechnyEducation LevelMaster Degree or equivalent Research
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superior light yield, fast scintillation response, and ultra-low noise due to cryogenic operation, leading to a significant increase in sensitivity, the key factor enabling radiation dose reduction. The PhD
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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of existing bioinformatic workflows and development of new pipelines. The analyses will be carried out on GPUs and part will consist of data processing and visualization in order to facilitate interpretation