11 of 11 Remote Permanent Ontologies Jobs

knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work More ❯

knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one More ❯

knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one More ❯

knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python Essential: Experience with at least one More ❯

Palantir Foundry We are looking for several System Architects and Data Scientist with Palantir Foundry Experience. Hands on Palantir experience with the following: Contour, Ontology, Vertex, Workshop, Code Workbook, Foundry Sft: SQL, Py Spark, Spark, Payton Databricks experience a bit plus. BS degrees a required with Masters preferred. More ❯

quick POVs for implementation/adoption Experience in scaling technology solutions aimed at solving complex business problems using semantic technologies preferably Knowledge Graphs and Ontology Engineering Knowledge of all phases of solution development for large-scale solutions and experience working in agile teams with short release cycles Strong technical team More ❯

understanding of various operating systems, network devices, and cybersecurity devices. An understanding of data cleansing and profiling An understanding of data schema, model, and ontology concepts Experience with Jupyter notebooks or similar AI/ML frameworks. Good communication skills Experience with Zoom/Teams/Meet style team meetings More ❯

data retrieval and manipulation Advanced Graph Data Modeling: Experience translating business requirements into optimized graph schemas, including property graphs, RDF triples, or knowledge graph ontologies Graph Algorithm Implementation: Practical experience applying graph algorithms (e.g., path finding, centrality measures, community detection, similarity calculations) to solve complex analytical problems Graph Database Architecture More ❯

health or life sciences domain; technical skills : Experience with ETL pipelines, microservices architecture, Python, knowledge of containerization (Docker, Kubernetes), understanding of data standards and ontologies in the life sciences (e.g., FHIR, RDF, SNOMED CT), familiarity with bioinformatics workflows and pipelines, knowledge of API development and integration. Experience in AI-models More ❯

s efforts with the objectives of the Master Systems Integration service. This might involve ensuring that projects contribute to the development and implementation of ontologies, technical submittal reviews, data migration processes, and program development. Compliance with Security Standards: The Project Manager is responsible for ensuring that data migration processes are … to manage project budgets effectively and efficiently allocate resources. Technical Proficiency: Understanding of MSI Concepts: Familiarity with Master Systems Integration concepts and practices, including ontologies, data migration, and technical submittal review. Technical Background: A background in a technical field related to systems integration, information technology, or a relevant domain. Security More ❯

passionate about improving digital competencies and enhancing the reuse of health and life sciences data? Do you specialize in semantic interoperability, (meta)data modelling, ontologies, knowledge graphs and/or related data science topics? Are you enthusiastic about Open Science and excited by the prospect of collaborating with national and … life sciences field to promote best practices and improve FAIRness, with a focus on interoperability. You'll support the development and use of semantic, ontology-based metadata and data models in the context of a collaborative research data workflow, helping to align research infrastructures and data collections across the LSH … to enhancing the accessibility and usability of health and life sciences data. Working closely with other experts of semantic (meta)data, data standards, and ontology development, you will drive seamless data integration across platforms and disciplines, ensuring interoperability and reusability for data driven life sciences and health. Your profile We More ❯