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Field
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of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience with Linux, Docker, MongoDB, PostgreSQL, and Opal
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deploying scalable infrastructure for large datasets and databases, including containerization and orchestration technologies such as Docker, Kubernetes, MariaDB, PostgreSQL, Apache Cassandra, Neo4J, etc
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Background in REST API development and database management (PostgreSQL, MySQL) Proficiency with HPC environments and job schedulers (e.g., SLURM) Experience with deep learning frameworks and neural network
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(MySQL/PostgreSQL), with experience in Go or R a plus. Hands‑on experience designing and managing cloud‑based data infrastructure in AWS, Azure, or Google Cloud. Experience building data models, schemas
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in use of SQL and experience with a database programming language such as PL/SQL, Transact-SQL, PostgreSQL, etc Willingness and ability to function as part of a dynamic and collaborative team Excellent
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Knowledge of GIS applications(e.g., Esri ArcGIS, QGIS) with database management systems (e.g., PostgreSQL) is a plus How to apply: Interested applicants are encouraged to send their application with
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. Experience as a Full Stack Developer or similar role. Knowledge of front end frameworks (e.g. Angular, React, Vue) and UI/UX design. Knowledge of databases (e.g. PostgreSQL, MySQL, MongoDB) and familiarity
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. Responsible for querying large datasets using SQL in Teradata and PostgreSQL environments, combining and matching data from a variety of sources, performing and interpreting statistical data analysis
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analytical pipelines and open-source software tools. Knowledge, Skills and Abilities Programming & Data Analysis: Expert proficiency in Python and R SQL and database systems (PostgreSQL, MySQL, MongoDB
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using sites and programs on NCBI, PDB, PubMed, BioGRID, TAIR, and Cell eFP. · Additional requirements include: · Experience with database management systems (PostgreSQL preferred) and ORM