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Field
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Machine Learning, Deep Learning, Computer Vision, Large Language Models, Data Analytics, or Intelligent Systems will be advantageous. Key Competencies Prior experience in research project coordination and
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highly desirable. For NeuroAI focus: Proficiency in popular deep learning, computer vision and/or user-interface software frameworks (such as Pytorch, TensorFlow, OpenCV, PyQt, Gradio etc). The candidate
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intelligence, machine learning, deep learning, environmental modelling, climate-health research, early warning systems, or related fields. Have strong programming and computational skills in Python, R, MATLAB
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stakeholders. Key Responsibilities • Develop and validate deep learning and machine learning models for behaviour modelling, including foundation models, graph neural networks (GNNs), and sequence models applied
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machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding
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experience in the following areas: deep learning and/or computer vision continual learning vision language models Experience in developing comprehensive benchmarks. Robust coding and software engineering
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We are looking for a highly motivated and skilled Research Fellow to join a project that integrates multi-omics analysis with machine learning and AI, aimed at advancing drug target discovery
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or connectivity analysis; machine-learning or deep-learning methods for geospatial analyses; ecological or remote-sensing fieldwork, particularly in alpine environments; Google Earth Engine, geodatabases or cloud
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University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners. Key
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vision and deep learning methods relevant to imaging, together with programming experience using modern scientific computing tools such as Python and PyTorch or TensorFlow. The successful candidate will