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data, player and team evaluation metrics, win probability and decision models, scheduling/optimization, or injury and workload models. Experience with modern data engineering and analytics tools (e.g
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. 2. Personalized prognostic models of time to loss of independence. 3. Identification of characteristics associated with ATT initiation to optimize referral pathways. 4. Real-world ATT outcomes
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an emphasis on transitioning from bulk optics to integrated photonics platforms. • Operation and optimization of single- and entangled-photon sources (SPDC, quantum dots, NV/SiV centres), including cryogenics
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to large single-crystal YIG spheres for optimizing magnon target mass and improving axion detector sensitivity. Develop detector sensing demonstration experiments for measuring the quantum efficiency and
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to research projects, both independently and collaboratively. Sets up, maintains, and optimizes experimental equipment. Mentors and trains lab members in techniques and experimental design. Presents research
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organizations, or government agencies on energy or infrastructure issues. Background in digital twin platforms, cyber-physical systems, or energy system modeling and optimization. Familiarity with large-scale
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motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control
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, Sputtering or MOCVD systems for microelectronics and emerging sensor technologies. Key Responsibilities: Develop and optimize wafer-scale 2D materials, including TMDCs, MXenes, and MOFs, for microelectronics
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) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self
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and optimize the in-process conjugation workflow. Collaborate with the Bioconjugation group to investigate conjugation efficiency and product quality attributes. Collaborate with Analytical teams