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Università degli Studi di Roma Tor Vergata - Dipartimento di Scienze Chirurgiche | Italy | 3 months ago
project aims to develop and train an artificial intelligence–based multiplex network for individualised risk stratification in prostate cancer. By integrating genomic, transcriptomic, clinical, pathological
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in data and computational science, including omics and artificial intelligence approaches are of particular interest, but strong candidates in any cancer-related biomedical area are encouraged to apply
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Industrial Advisory Board (IAB), supporting Robotics and Artificial Intelligence graduate programs. The position provides strategic leadership in building and sustaining high-impact partnerships between
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. This position is not eligible for any type of sponsorship for work authorization. For more information on Civil Service classifications, please visit the SUCSS web site at https://www.sucss.illinois.gov/pages
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information on Civil Service classifications, please visit the SUCSS web site at https://www.sucss.illinois.gov/pages/classspec/default.aspx . Application Procedures & Deadline Information Applications must be
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) at the Department of Artificial Intelligence in Biomedical Engineering (AIBE). The position is planned to be filled by the earliest possible starting date for an initial period of three years. Upon successful
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position within a Research Infrastructure? No Offer Description SCHOOL: School of Artificial Intelligence and Advanced Computing (AIAC) ACADEMIC DISCIPLINE: Artificial Intelligence, computer science, data
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position within a Research Infrastructure? No Offer Description SCHOOL: School of Artificial Intelligence and Advanced Computing (AIAC) ACADEMIC DISCIPLINE: Artificial Intelligence, computer science, data
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Sciences Compensation Plan. UC Salary information can be found here: https://www.ucop.edu/academic-personnel-programs/compensation/2024-25-academic-salary-scales.html . Application Window Open date: June 12
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Science, Physics, Artificial Intelligence or similar field/ related discipline obtained no more than five years prior to the application date*; 2) proven experience in designing methods for the exploration and