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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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fellowship in Transfusion Medicine and Clinical Informatics (CI) at the University of California, Los Angeles. The program is open to pathologists only. Recruitment for this position starts in early June two
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fellowship in Transfusion Medicine and Clinical Informatics (CI) at the University of California, Los Angeles. The program is open to pathologists only. Recruitment for this position starts January 2.5 years
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems. Demonstrated expertise in large language models (LLMs) and their
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, Usenix Security, NDSS, CCS, ICSE, ASE, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems. Demonstrated expertise in large
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. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in computer engineering, Computer
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operational excellence and engagement with the communities where we live and work. ORNL invites you to apply to its Distinguished Staff Fellowship (DSF) Program. This program recognizes outstanding early-career
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational Analysis of Online Economies – Led by Prof Lexing Xie and Dr Yun Kuen Cheung, this research explores digital
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on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning. Key Responsibilities: Conduct advanced research in the areas of privacy-preserving