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the Nuclear Energy and Fuel Cycle Division, Fusion and Fission Energy and Science Directorate at Oak Ridge National Laboratory (ORNL). The FCCI Group applies modern materials science to design, develop
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Requisition Id 17135 Overview: We are seeking a Postdoctoral Research Associate – Modeling, Controls, and AI for Thermal Systems to advance the design, operation, and maintenance of thermal systems
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to the design, fabrication, and characterization of superconducting devices based on high kinetic inductance materials. This position offers a unique opportunity to help build a new research capability with
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, KEATING LAB, Biology, to join a small, collaborative peptide design team working at the interface of computation and experiment. Working closely with
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Materials research group of Prof. Tania Lopez Silva will be part of a multi-PI interdisciplinary research team, contributing to the design, synthesis, and characterization of a diverse peptide library
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molecular compounds as potential drugs for the treatment of infectious diseases. Additional work duties include design of new molecules, data analysis, analytical characterization, purification, maintaining
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and protein engineering methodologies to design novel combination immunotherapy and radiation treatments with the goal of enhancing clinical outcomes for patients diagnosed with metastatic cancer
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immune microenvironment. Experience in vivo cancer models that include animal handling, tumor studies, tissue collection, treatment studies, and experimental design. Experience in cancer biology, with
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Responsibilities Lead photonic integrated circuit (PIC) design and simulation using commercial tools. Contribute to novel photonic computing architectures including optical in-memory and
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: Develop multiscale ABMs of multi-cellular immune cell populations and virus interactions. Design, implement, analyze, and validate agent-based, ODE, PDE, stochastic, hybrid, or surrogate models, selecting