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learning algorithms (Deep learning, Reinforcement learning, etc.); Proficiency in written and spoken English - essential for data analysis and communication with stakeholders Excellent oral communication
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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets
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Responsibilities: Conduct advanced R&D in the theoretical and practical evaluation of quantum key distribution technologies and quantum cryptography implementations. Develop co-simulation pipelines and digital twin
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” wherein messages including emotions are incorporated into the movements of collaborative robots. Key Responsibilities: Design, implement, and test real-time multi-objective motion planning algorithms
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for the 2026 intake will commence in Mid-March to End April 2026. Awards will be finalised by July 2026. Supported Areas for START - Engineering Energy Resilience: Power electronic converters for distributed
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cross-functionally with control engineers, hardware designers, and system integrators to integrate real-time control algorithms and maintain a robust test bench environment for prototype evaluation
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validate advanced 5G features such as network slicing, MEC and xApp/rApp. Contribute to the development of innovative solutions and algorithms to enhance 5G network capabilities. Work closely with
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validate advanced 5G features such as network slicing, MEC and xApp/rApp. Contribute to the development of innovative solutions and algorithms to enhance 5G network capabilities. Work closely with
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, postdocs, and students to integrate structural biology data with biochemical and functional assays. Prepare manuscripts, conference presentations, and contribute to grant reporting and project milestones
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satellite remote sensing and a wide array of ground observations (i.e., phenocam, Lidar, sap flow). The Postdoc is expected to integrate the advanced knowledge in plant physiology, remote sensing and