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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science; Biotechnology Project funding Project based
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) of human samples. Specifically, as a Bioinformatics Research Analyst, this job requires you to develop computer programs to meet the needs of data collection, quality control, analysis, and report generation
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bioinformatic or population genomic analyses, including processing high-throughput sequencing (NGS) datasets Essential Application / Interview Strong programming skills (e.g., Linux/Bash, R, Python) and
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massively parallel selection experiments to tackle the fundamental encoding problems of molecular biology. Towards this goal we have developed, benchmarked, and applied at scale experimental methods that use
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on-line and in-person regular training courses in a range of bioinformatics, develop new training modules, assist NEOF users with the analysis of their datasets, and contribute to research projects
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results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic
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computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and dissemination
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clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis Experience managing
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Information Systems and Technology, Level C Job Title Bioinformatics Specialist Department Leadership | Shared Research Platform
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Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and