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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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(FastAPI, Flask) or equivalent backend experience Deep experience with WebSocket and real-time API development Experience with Pub/Sub architectures, inter-process communication Familiarity with simulation
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functional neuroimaging programming tools such as E-Prime and Psychopy. Experience with image processing software for functional neuroimaging. Hands-on experience in teaching activities involving EEG, fNIRS
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related field with emphasis on biosignal analysis and imaging systems. Proven experience in visual behavior analysis, video processing, or physiological signal interpretation, preferably in aquatic
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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and lifestyle assessments. Analyze cross-sectional and longitudinal data linking microbiome profiles with behavioral, cognitive, imaging, and biomarker outcomes. Perform data processing, quality checks
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-year position) to function primarily as a project operations coordinator and assist the Project lead in the following aspects of work. Primary Duties: Specimen Image Collation: Manage workflows to gather
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with ultrastructural analysis. Manage, process, and analyze large imaging datasets generated from the project. Assist in mentoring and training PhD and undergraduate students in relevant techniques and
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accelerating its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing