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outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope Design and conduct any downstream, secondary assays for hit validation and lead optimization. Work with
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& Support: Provide ongoing maintenance and support, troubleshooting issues, optimizing performance, and ensuring data integrity and security within systems. Compliance & Security: Ensuring that applications
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provide regular actionable updates on ongoing projects and operational matters related to cloud services and IT systems Identify opportunities for optimization, redesign, or process improvement related
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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon
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efficient obstacle avoidance strategies to ensure collision-free navigation in dense settings. Implementing and validating algorithms in both virtual and real-world scenarios to optimize performance in indoor
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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resolution and troubleshooting during programme execution. Financial Planning & Budget Oversight Prepare and oversee detailed programme budgets, ensuring optimal resource allocation and cost-efficiency. Track
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serve as a strategic legal advisor, driving excellence in legal and compliance frameworks while fostering innovation, partnerships and optimization. This role requires a seasoned legal professional with
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framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct
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of Physical and Mathematical Sciences. We are seeking a Research Fellow to contribute to the research agenda of the project ‘Geometric Optimization and Design in Learning and Robotics'. Key Responsibilities