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, DICOMweb, HL7, FHIR, or clinical system integration. 3D visualization and medical image processing Angular, React, REST APIs, OpenAPI, or asynchronous processing. SQL Server, Oracle, PostgreSQL. CI/CD
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data analysis, modelling, problem-solving and reporting, using a range of tools and technologies such as Excel, PostgreSQL/SQL and Power BI, with demonstrated ability to translate complex stakeholder
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of biological entities and relationships using vector databases and PostgreSQL. • Integrate specialized NLP workflows to extract insights from unstructured academic and clinical text. • Maintain rigorous
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, OpenRouter) storing, querying, cleaning, and validating data using SQL/PostgreSQL applying NLP, statistical methods, and LLM-based approaches to textual data deploying and maintaining research code on Linux
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, or similar. • Experience with front-end frameworks and technologies such as React, Angular, Vue.js, HTML5, CSS3, and JavaScript. • Experience with relational databases such as SQL Server, MySQL, PostgreSQL
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and back-end services in Node.js and Python • Proficiency with relational databases (PostgreSQL), including schema design, query writing, and data modeling. • Experience with non-relational/document
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React.js. • Proficiency in Python and experience with backend frameworks such as FastAPI, Flask, or Django. • Familiarity with relational databases (e.g., PostgreSQL, MySQL) or NoSQL solutions (e.g
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, document-oriented, object, and/or time-series databases, such as MongoDB or PostgreSQL. Familiarity with FAIR data practices, metadata standards, ontologies, and/or provenance systems. Cloud or container
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frameworks such as Django or NiceGUI. Experience with relational and NoSQL databases, including PostgreSQL, MySQL, Oracle, or DynamoDB. Experience working with modern JavaScript frameworks such as React
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to efficiently research, train, and deploy both traditional and ML-based algorithms and applications. The ideal candidate is a PostgreSQL expert who also brings hands-on experience with other modern data storage