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Field
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dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
collaborative research environment that combines expertise in genomics, computational biology, and evolutionary genetics. Research Responsibilities The successful candidate will: Develop and optimize ancient DNA
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program strategies to optimize performance and ensure effective delivery of program goals, timelines, and resource allocation Oversees the planning and execution of program events, coordinating logistics
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 3 months ago
. An optimization effort will be conducted at the module level, with a strong emphasis on structure–actuator coupling, in order to improve energy efficiency (high energy density, low consumption
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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the nexus of AI, operations research and decision making and their applications to workforce policy and reskilling. The project builds on ongoing work using optimization-based models to predict future skill
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the administrative oversight of the Clinical Pharmacy Operations Manager. The Informatics Pharmacist is a clinical and technical subject matter expert who designs, validates, and optimizes the pharmacy medication-use
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-precision hardware without compromising simulation fidelity. Data-centric optimization: Designing and implementing communication schemes and data access strategies targeting post-exascale systems, e.g., using
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requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market optimization (demand
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, and working with structured and unstructured datasets Solid understanding of statistics, probability, optimization, and linear algebra Design and implemention deep neural networks, including CNNs, RNNs