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will focus on advancing IT@JH managed software and infrastructure, encompassing various data storage and analytics platforms, both cloud-based and on-premises. The unit employs diverse project management
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of a team with a broad range of professionals. Proficiency in the use of computers, including working with databases, spreadsheets, cloud file systems Preferred Qualifications MS (M.S., M.Ed., M.A
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Preferred Experience Demonstrated experience with Adobe Creative Cloud (especially InDesign, Photoshop, and Illustrator) Experience with Mac and post-production software such as Adobe InDesign, Adobe
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maintaining scientific and analytical software, troubleshooting issues, and helping research groups transition to CARC’s high-performance computing or cloud environments when needed. This role requires a strong
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document database best practices and standards. Support production systems during on-call rotations, resolve issues quickly, and help identify and prevent future problems. Experience with cloud platforms
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
statistical analysis, data storage and management, cloud storage and distributed computing, data engineering, data warehousing, data modelling and visualization, data analytics, database management and
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cloud computing. Good organizational skills across multiple projects, managing own workload, self-directed. Excellent written and verbal communication skills. Positive attitude and the ability to work
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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quantification , differential gene expression (e.g., DESeq, edgeR), and differential splicing (e.g., DEXseq, rMATS). Pipeline development languages WDL,CWL, Nextflow. Experience in Google Cloud platform and AWS