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, misinformation detection, abuse detection, threat monitoring, and the identification of suspicious patterns in digital platforms or data streams. • Design, train, fine-tune, test, and validate machine learning
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Engineering (Spanish MECES level 3 or EQF level 7), or any other official Master’s degree with equivalent content. PhD in Computer Engineering (Spanish MECES level 4 or EQF level 8) or any other PhD programme
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-driven Drug Discovery/Biomaterials/Life Science Applications Cognitive Intelligence and Agentic AI Research Centre (CIAA) Pattern Recognition/Machine Learning/Deep Learning/Reinforcement Learning, LLM/MLLM
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are expected to submit a career development plan, specifying career goals and the competencies that the PhD fellow should acquire, no later than one month after commencement of the fellowship period. The
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 03-Jul-26 Location: Richardson, Texas Categories: Academic/Faculty Computer/Information Sciences Internal Number
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practical machine learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in AI alignment, human-AI interaction, and explainable AI, and enjoy
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your responsibilities: PhD in the field of high-performance computing Independent research in the field of high-performance computing (HPC
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/InstituteFaculty of Computer ScienceCountryPolandCityKrakow Postal Code30-055StreetKawiory 21Geofield Contact State/Province Malopolska City Krakow Website https://www.agh.edu.pl/o-agh/praca-w-agh Street al
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) condensed matter physics at the interface with quantum information science or advanced machine learning. We welcome candidates who will enrich our active and intellectually diverse condensed matter group and
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will rely on: Developing machine learning-based surrogate AI models (physically informed neural networks) to predict the evolution of calcium carbonate precipitation rates associated with the reduction