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scientific journals Requirements: completed scientific university degree and, if applicable, PhD: either in computer science, data science, bioinformatics, or a related field with a focus on machine learning
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/357774/phd-in-adapting-transformer-mod… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in Computer Science, Electrical Engineering, Artificial Intelligence
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reputation. Eligibility criteria See PhD theses | SCK CEN Selection process See PhD theses | SCK CEN Additional comments See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en
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for admission: • Have a master's degree in the humanities, geosciences or related fields; • Be signed up for the PhD programme; • Not have received a PhD scholarship directly or indirectly funded by the FCT
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Associates and PhD students. We are particularly interested in candidates who bring expertise at the intersection of artificial intelligence, machine learning, and criminology. The successful candidate will
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simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
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modeling, materials, and biomanufacturing). Candidates will possess a PhD in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a closely related
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manufacturing to operation and maintenance. The PhD candidate will develop intelligent battery management strategies for V2X-connected Software-Defined Vehicles (SDVs) by leveraging artificial intelligence (AI
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collaboration with the Research & Development (R&D) team. Required Qualifications & Experience Master’s degree or Doctor of Philosophy (PhD) in computer science, engineering, or related technical field. Minimum 2
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nominations and applications is now open. We warmly invite exceptional fresh PhD graduates from institutions around the world to apply. To learn more about the Program, please visit https