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Field
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contributing to knowledge exchange. Supporting the supervision of junior researchers where appropriate. Person Specification Essential: PhD (or near completion) in mathematics, statistics, computer
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. Mathematical or computational models, including artificial intelligence-based approaches, that make use of such information flows and address uncertainty and complexity in relation to food safety risk assessment
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detection of comorbidity and multimorbidity patterns, https://aristoteles-horizon.eu / ) developing novel artificial intelligence (AI) powered tools to assess and manage multimorbidity in patients with atrial
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) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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. - Preparation of manuscripts and presentation of results at international conferences. Required profile: - PhD in genomics, bioinformatics, computational biology, molecular oncology, or related field. - Strong
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
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for international research and education from BA to PhD studies within language, language technology, Natural Language Processing, literature, media, culture, and gender studies. The successful candidate will be