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moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite applications
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the project: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate
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Software Engineering: SDLC, requirement analysis, design, testing, optimisation, analysis, simulation, database, computer graphics, distributed systems, computer vision, video analytics Emerging Fields: IIoT
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. The incumbent will apply design thinking, systems thinking, and future-oriented methods to guide multidisciplinary teams in creating impactful products, services, and experiences. This role also oversees project
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for Commercial Off-The-Shelf (COTS) drones. This role focuses on pushing the limits of COTS hardware by integrating sophisticated software and edge computing solutions. The Role: As our Research Engineer, you will
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digital supply chain solutioning projects with both hardware and software elements. Experience in digital supply chain related projects with strong integration of the three pillars, i.e., Digitalization
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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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tunnelling. Prior experience in basic soil characterization and knowledge in basic soil mechanics is required. Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
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Nursing Occupational Therapy Physiotherapy Speech and Language Therapy Applicants should meet all the criteria below: (a) an earned PhD in the respective healthcare discipline from a reputable university
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evaluate state-of-the-art learning-based methods for robotic perception, decision-making, navigation, and manipulation. Apply reinforcement learning, imitation learning, and other skill learning frameworks