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Assistant will take on a significant role in contributing to the computational chemical biology research. Key Responsibilities: Establish the bioinformatics platform Acquire proficiency in discipline-specific
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applications. Key Competencies and Requirements: Bachelor or Master degree in Bioinformatics, Computational Biology, Data Science Proficiency in Python, R, or other data science languages Hands on experience
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, with a self-driven and proactive attitude and willingness to learn new skills. Experience in bioinformatics, particularly with Python or R programming, is a plus. Remuneration will be commensurate with
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to cutting-edge research in metabolic diseases, including obesity, chronic liver disease, and cancer metabolism. By leveraging animal disease models and bioinformatics approaches, our lab aims to unravel
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in Precision Medicine, Biotechnology, or Life Sciences/Biomedical Sciences. Strong knowledge of molecular biology, genomics, bioinformatics, and relevant clinical applications. Prior experience in
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machine learning, artificial intelligence, and bioinformatics techniques. Specifically, he or she will be responsible for curating and organising existing clinical databases, assist with the deployment and
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calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with
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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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, insect identification, etc. Candidate should possess basic molecular taxonomy skills, such as DNA extraction, PCR, running gels, bioinformatics, etc. Candidate must be organized and meticulous to curate