829 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"SUNY" positions in Singapore
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, data mining, and machine learning techniques. Familiarity with Natural Language Processing (NLP) is advantageous. Proficiency with data visualisation tools such as Qlik Sense, along with programming
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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Location_ONB: Kent Ridge Campus Posting Start Date: 31/10/2025 Job Description The successful candidate will work with Associate Professor Duane Loh on conducting research at the interface of Machine Learning
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digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different conditions. To propose a methodology/framework in a
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an emphasis on technology, data science and the humanities. We are seeking a motivated Research Associate to support a haematology image-analysis project, contributing to the development of machine-learning and
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operational modelling and simulation, pricing & cost control to contribute to growth of the team resources. The ideal candidate is highly organized and proficient in using current data and machine learning
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support to the Leads and ensuring a good learning experience for the students. The Senior Executive is also required to work closely with the other departments to support major School events and activities
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level encryption Systems and networking basics Blockchain security Robotics: Machine Learning Computer Vision Robot Control System Depending on the candidate’s prior teaching experience, the appointment
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation