22 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Experimental Photochemistry or related area. Preferred Knowledge, Skills, and Abilities: Experience in the field
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preparation and presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Experimental Photochemistry or related
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should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated research experience in the mathematical foundations of AI, as well as substantial programming
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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the Himalayas. The company will host the battery demonstrator at its premises in Kathmandu. You will be an applied engineer, battery technologist or materials scientist who holds a PhD degree (or equivalent
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of the findings and ensure they can inform policy and practice. You will have a PhD or equivalent professional qualification in statistics or epidemiology, and experience or an interest in medical