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-omics data to identify therapeutic targets and biomarkers. Study cardiomyopathy across models of diabetes, cancer, and pressure overload. Collaborate in an interdisciplinary team and contribute to high
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-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling
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skills in Chinese is a plus. High analytical ability to analyze and illuminate data, interprets reports, evaluate and criticise texts and bring new insights. Ability to creatively apply relevant research
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leveraging on AI and optimization, applying data science and analytics techniques. Such tools will support the integration of Distributed Energy Storage (DES) and Distributed Energy Resources (DER) in
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, problem-solving, and analytical skills in preclinical drug development research. Proven ability in report writing, record keeping, data management, and clear presentation of research results. Excellent
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output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 4. Survey the research literature and
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Specification First class degree in a biological science subject High level analytical capability Ability to communicate complex information clearly Full working knowledge of informatic environments including R
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experiments to test and refine DNA extraction and library construction workflows. iii. Operate and interpret results from analytical instruments, with particular emphasis on using the Agilent Bioanalyzer
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to test and refine DNA extraction and library construction workflows. Operate and interpret results from analytical instruments, with particular emphasis on using the Agilent Bioanalyzer for assessing DNA
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data