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establishing and optimizing long-term molluscan cell culture systems and advancing next-generation in vitro models for fundamental and translational research. Position Description · Develop, optimize, and
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applications. Develop and optimize biosensing and bioanalytical platforms using nanotechnology-enabled signal transduction mechanisms. Conduct experimental studies involving biomolecular recognition, surface
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interface optimization within unconventional reservoir rocks. The role balances core DOE deliverables on fundamental huff-and-puff mechanisms and processes with exploratory research into advanced chemical
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materials. Perform numerical simulations, design photonic nanostructures, and carry out related experimental measurements. Build and optimize optical setups for characterizing material and device properties
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the precision health domain that aim at diagnosing various types of disease and recommending optimal treatments for patients. The position will be supervised by Research Professors and will be conducted with
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Postdoctoral Research Fellow - Michor Lab Dana-Farber Cancer Institute Boston, MA Full Time The lab of Prof. Franziska Michor, PhD at the Dana-Farber Cancer Institute (Department of Data Science
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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learning, robust/stochastic optimization, control systems, transportation systems, power systems, electricity markets, or closely related areas Established publication record A PhD in a relevant field (or
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of optimizing pipelines for large-scale genomic projects. Special Instructions Required documents: CV Research summary of PhD work. Cover letter describing your interest in the lab and initial ideas for new
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of biological catalysts and materials with potential for optimization through directed evolution. Postdoctoral candidates should have experience in synthetic or chemical biology and/or microbiology, ideally with