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-driven logistics and supply chain management, supply chain analytics, supply chain strategy, qualitative research, statistical analysis, econometrics, multicriteria decision making, optimization
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). Due by December 15, 2026. - Computational Mathematics and Applications (CMX). Due by November 30, 2026. - Decision, Optimization, and Learning at Caltech (DOLCIT). Due by January 1, 2027. - The
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with strong expertise in an area of applied mathematics, including partial differential equations, control theory, dynamical systems, optimization, numerical analysis, scientific computing or the
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drug discovery (e.g. generative models, PK models, lead optimization). Description of work/duties: Working in a team-based environment to solve scientific problems Active collaboration with
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design, fabrication, optimization and experimental characterization of polaritonic waveguides, polariton lasers, cavity/waveguide networks, and polaritonic circuit elements. The role includes developing
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, we are seeking a full-time postdoctoral researcher who will play a key role in the further development and optimization of the mix design and associated strength and carbon impact prediction, related
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and high fidelity methods Analysis of flow on and around rotors and airfoils Multi-disciplinary modeling and optimization of wind turbine rotors Design of wind turbine airfoils including multiple
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history, microstructure evolution, residual stress, and final part performance. A strong background in computational mechanics is preferred. 3. Manufacturing Process Development & Optimization: This
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performance in cellular and animal models. Conduct physicochemical characterization of drug formulations. Analyze experimental data and identify opportunities for optimization. Participate in translastional
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with