78 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Universitätsklinikum-Hamburg-Eppendorf" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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. The role is responsible for identifying high-value collaboration opportunities, shaping business models for applied AI projects, and securing funding or co-development commitments that contribute to SNAIC’s
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GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface
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support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and
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models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration
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, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration, inference deployment) and the frontend interface (user-friendly drag-and-drop studio, similar
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GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface
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models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration
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GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface
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inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference
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relevant to industry demands while working on innovative projects within the university. The primary responsibility of this role is to contribute to the design, development, and deployment of an advanced