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Field
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models and frameworks, including PyTorch and TensorFlow. Application programming skills Web development skills, including JavaScript, HTML, CSS Database administration knowledge, PostgreSQL a plus Prior
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
containerization tools (Docker, Kubernetes), experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase), knowledge of API development, security best practices, and performance optimization, ability
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of cloud services (preferably AWS), containerisation (Docker/Kubernetes), and relational/non-relational databases (PostgreSQL, MongoDB) Experience designing, building, and deploying secure, reliable and
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including RStudio, Jupyter Notebooks, Python, PostgreSQL and containerised services. 10. Manage and maintain the TRE service storage systems running a mixture of Dell PowerScale (Isilon), PowerStore, and
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such as PostgreSQL, MS SQL Server or InfluxDB. Monitoring Tools: Experience using monitoring and logging tools, such as Prometheus and Grafana, for real-time observability of time-series data. Demonstrable
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experimental activities under natural exposure conditions that complement laboratory-based studies. Our software ecosystem includes a React frontend connected via a FastAPI backend to a PostgreSQL database, all
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applications running on Java, ASP.NET. Experience with virtual technologies. Experience with SSIS, SSRS, SSAS. Experience with SharePoint. Experience with MSSQL, PostgreSQL, MySQL Experience with Confluence
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, Fast API, PostgreSQL Strong Project Management Skills: Proven ability to manage projects from conception to completion, including resource allocation and timeline management. Understanding of Security
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Experience with metabolomics data analysis or QTL analysis and quality control would be a plus Previous experience in building and interacting with relational databases (e.g., PostgreSQL) and APIs would be a
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., Ansible, Terraform), and continuous monitoring (e.g., Prometheus, Grafana). Database Technologies: Strong understanding of database systems, including SQL (e.g., PostgreSQL), NoSQL (e.g., MongoDB, Redis