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Field
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successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of the laboratory's interests center
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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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journals in the field. Participate to the supervision of PhD students and research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong
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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in physics
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activities to share knowledge and contribute to the academic mission of the institution, up to no more than 20% of working hours. Skills in utilizing artificial intelligence for materials design will be highly
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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weighting The Department of Computer Science seeks to employ a postdoctoral researcher to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge
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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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pathway to independence and opportunities for career advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical
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development. Basic Qualifications: A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years. Experience of AI and efficient computing