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reviewed • Understand the product thoroughly; Analyse, design and develop functionalities based on product requirements • Work with researchers to implement and develop parallel and distributed systems
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for Sustainable proteins, who will be assessing in parallel the protein digestibility, bio accessibility and bioavailability of alternative proteins Key Responsibilities: To carry out analytical biochemical
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gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record Lead
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://discovery.nus.edu.sg/5460-catherine-w-m-ong Main Duties and Responsibilities The Research Fellow will design and execute experiments in M. tuberculosis infection of mice, processing of samples, and associated readouts
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Genetic Studies: Support studies on genetic variants affecting drug metabolism, particularly those relevant to Asian populations. Work with bioinformatics and clinical collaborators to interpret
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Familiarity with research methodologies and ethical guidelines related to clinical and animal studies Proficiency in multi-omics data analysis, and bioinformatics, preferably preferred Excellent organizational
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DNA/RNA extraction, PCR, qPCR, Western blotting, and immunohistochemistry to support research projects. Assist in next-generation sequencing (NGS) library preparation and contribute to bioinformatics
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on experimental techniques and methodologies. Desirable Skills and Experience Experience with bioinformatics tools for RNA sequencing data analysis. Knowledge of immune responses to viral RNA and cellular stress
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safety regulations are followed Qualifications • Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
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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