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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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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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, 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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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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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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technical specialist with 10 or more years of working experience in Automation, Robotics, Autonomous Systems, or related areas in development would be preferred. Experience in following areas is highly
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-specific experience Familiarity with Web/Full-Stack Development: Basic understanding of frontend frameworks (e.g., React, Angular, or Vue.js) Eposure to backend development (e.g., Flask, Django, Node.js
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Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating harmful user-generated content in virtual worlds as part
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background in food science, product development, and research methodologies. This role involves working collaboratively with cross-functional teams to develop new food products, improve existing ones, and