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programming, statistics, computational analysis and if possible environmental awareness. • Prior experience working with LiDAR or point cloud data will be a definite bonus. • Excellent project management
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for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and
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: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and training deep learning models on biological, chemical or
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within/outside of research group, using appropriate presentations format Key Competencies and Requirements: PhD degree in bioinformatics or statistical genetics, computational biology, or related field
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Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 214241 - Computer Science Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job Summary: The
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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deployment in cloud using the latest approaches to the containisation and orchestration Essential Criteria Grade 7 Qualifications Honours Degree and PhD in an appropriate discipline such as Earth observation
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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Aerosol Injection (SAI), which creates a protective aerosol layer; 2) Marine Cloud Brightening (MCB), which increases cloud reflectivity over oceans. While these methods could slowdown warming
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing