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Responsibilities: Lead the design, implementation, and validation of data-driven Digital Twin (DT) models to simulate and forecast dynamic energy demands and renewable generation patterns within shipyard operations
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simulation, and real-time sensing—paving the way for next-generation human-relevant testing systems in drug discovery, toxicity screening, and precision medicine. Key Responsibilities Design and develop micro
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Responsibilities: The successful applicant will be responsible for: Obtaining theoretical results at the interface of geometry and biophysics Designing, implementing, and testing algorithms to model active matter
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research on design and manufacturing of soft fluidic catheter robotics. This role will propose novel design of soft robotic materials and structures driven by the fluidic environment. Experiments will be
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of performance, speed, and precision. Key Responsibilities: Design and implement genAI models for embodied AI systems. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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Responsibilities: Conduct programming and software development for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed
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modelling, health economics, and vaccine policy. Job scope: • Lead and contribute to high-quality research on infectious disease modelling and health economic evaluations. • Design, develop, and extend
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research. The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry. Demonstrated ability to formulate hypothesis and design effective experimental plans. Ability