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models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned
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devices, and edge computing platforms. Deploy machine learning models to enhance process control and system responsiveness. Collaborate with industry partners to identify research challenges, co-develop
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
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, cryo-EM, etc. An understanding of protein modeling and simulation. Additional Qualifications Considered May require experience with specialized software programs such as PyMol, Chimera and others
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’ methodological skillsets. There are different models of Postdoctoral programs. CIL follows the Academic Community model, whereby fellows are part of an academic community learning and advancing not only from
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multiscale and multiphysics modeling for thermomechanical effects on high performance heat spreaders based on materials such as diamond thin films. Collaborate with experimental groups on characterization
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beyond biochemistry) or in chemical computation. Responsibilities: 1. Conduct experimental or computer modeling/phenomenology research on any of the following: (1) Polymer Chemistry and Self-assembly (e.g
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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models, including intestinal organoids, along with novel biotechnology/organ-on-chip platforms and an array of molecular and physiological instruments, assays, and techniques. Under the guidance of a
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the overall objective of the PhD work. Some potential specific research objectives: Model the coordination and interactions between power producers and system operators (DSOs and TSO) in scenarios