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digital transformation initiatives that power our entire organization. With cutting-edge platforms like Workday and UKG at the core, the team is shaping the future of how business processes and technology
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, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
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and proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards. 5+ years of senior-level management experience leading large
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will explore how the behavior of water-driven materials can be modeled across different scales by computer simulations. Equal opportunity is an important part of our personnel policy. We would therefore
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of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping the technologies that underpin a more sustainable and
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Centre (STARC) The Energy Environment Water Research Centre (EEWRC) The Climate and Atmosphere Research Centre (CARE-C) The Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC
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the integration of financial strategy with operational execution, ensuring efficient, data-driven decision-making across the institution. Lead capital planning, campus infrastructure, and technology investments
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implement new nonlinear iterative solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned
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also very important to us. You are wondering what you can bring to the team? You will support the team by creating data-driven models for early fault detection in WTs. To do this, you will develop Normal
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Rutgers University–New Brunswick’s School of Engineering invites applications