117 3-phd-positions-in-computer-science-artificial-intelligence Postdoctoral positions
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. Within the ERC-funded multiCODE project, we aim to unravel how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and
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. Demonstrated interest in teaching. Experience Requirements and/or Equivalents This is an entry-level position Practical and/or research experience with artificial intelligence, including college-level coursework
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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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Intelligence and assistive technology, we aim to be at the forefront of equipping key stakeholders to identify, explore, and scaffold opportunities for strengths-based approaches that allow neurodivergent
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
Artificial Intelligence and assistive technology, we aim to be at the forefront of equipping key stakeholders to identify, explore, and scaffold opportunities for strengths-based approaches that allow
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the opportunity
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models Experience in artificial intelligence to develop the algorithms for digital twins Experience with both qualitative and quantitative data analysis techniques Experience in cleaning and analyzing
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Discipline: Process Mineralogy, Mineral Processing, Artificial Intelligence Duration: 12 months, with the possibility of renewal for an additional 12 months Institutions: UM6P-Benguerir/ Mineral-X
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will be jointly embedded and interact with PhD students and research engineers of the Interdisciplinary Institute for Artificial Intelligence (3iA) TechPool, and operates in the context of international