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, or structural bioinformatics Point of Contact Janeen Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (5 ) Engineering (1
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coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge
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, organize, and track tasks to meet deadlines while coordinating with team members. Basic proficiency with common computer applications and digital platforms, including tools used to promote and track service
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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, or similar. Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the
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fields such as computer vision and natural language processing, graph-structured data remain a rich frontier for methodological innovation, with many fundamental challenges and exciting opportunities ahead
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous
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heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional
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The Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is seeking a Research Associate to support research in thermal metamaterials, topological