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approaches, and performing coarse-graining to obtain effective models at various scales. Special Instructions Contact Information Jason Eldridge https://www.physics.harvard.edu/ Harvard Physics Department 17
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these challenges by: Developing predictive workload, lead-time estimation, material planning models to capture the high variability in HMLV environments using hybrid AI (combining machine learning, feature-based
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thermal management systems for electronic devices. Ac-tivities include a critical literature review and conceptual develop-ment of systems based on heat pipes and phase change materials (PCM). This will be
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others. A typical observation model (giving the likelihood of the data p(X|A)) states that the different materials contribute linearly in each pixel: X = SA + E where X gathers all the L-dimensional pixels
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. Current research directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and
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on integrating material and manufacturing behavior with mechanical and thermal performance models, manufacturability considerations, and sustainability metrics within a system-of-systems perspective. The work will
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synthesis, material science, theory and modeling, device physics, nanotechnology, biotechnology, and system design. Our activities span the range from basic research to commercialization, the latter carried
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/ and about the Soft Materials Group at https://www.aalto.fi/en/department-of-chemistry-and-materials-science/soft-materials-modelling More about Aalto University: Aalto.fi youtube.com/user
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and civil liability. Application Materials Required: Further Info: http://www.brandeis.edu/departments/physics/ Physics Dept., MS057 415 South Street Waltham, MA 02453
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: Initial appointment is 1 year with the expected renewal after the first year for an additional 1-2 years by mutual agreement. Appointment Start Date: Flexible Start Date Group or Departmental Website: https