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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to
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; Skills in computer programming. Workplan and objectives to be achieved: Development of Machine Learning tools for retrobiosynthesis pipelines, including: (i) validation and extension of models and tools
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support their research activities. Application Procedure Applicants are required to contact potential supervisors at Lingnan University and submit a research proposal (as discussed/developed by
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non-degree awarding program; Preferential factors: Experience in food technology, specifically in physicochemical characterization methods for foods and the processing of agri-food waste for
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the opportunity to learn to: Understand the general process of a soybean breeding program Practice field-based techniques (e.g., planting, controlled pollinations, observational data collection
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that provide health benefits; and creating value-added food and nonfood products from low value agricultural resources. Scientists at FFR develop new processing, chemical, physical, and enzymatic technologies
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the field of architecture or related fields; Proficiency in computer-aided design, graphics and video software, as well as data processing and word processing software, amongst others; Advanced knowledge
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Prevention and Control (DCPC), Comprehensive Cancer Control Branch (CCCB) located in Atlanta, Georgia. The Centers for Disease Control and Prevention (CDC) is one of the major operation components
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determinants of health, including analysing submissions to government, official records, policy processes and media discourse. • Working with researchers and sector experts to develop methods
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on developing explainable and uncertainty-aware AI systems for linking mentions to entities under ambiguity, while building on advances in natural language processing, representation learning