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synthetic organic chemistry, including reaction design, optimization, purification, and structural characterization. Strong command of spectroscopic methods (H/C NMR, mass spectrometry, chromatography, etc
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prototype database of polymorphous materials. Contribute to the development of a Fortran-based HPC code. Implement routines for temperature-dependent optical and transport properties. Optimize workflows
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key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic scientists. Candidates with
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Engineering, and related fields, with a view to develop and optimize 3D bioprinted models, cell selection and expansion for bone models, biological and mechanical characterization of bioprinted tissues
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commitment to providing a supportive intellectual environment where members can learn, grow, and contribute to solving a pressing societal problem. Optimization of antimicrobial use has been recognized as a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
for dialysis, including development, fabrication, and optimization of dialysis testing systems. The postdoctoral researcher will work under the guidance of Professors Theo Dingemans (polymer chemist, Applied
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, classification, and interpolation of pixel detector data. Exploration of spike-based data encoding/decoding strategies. Hyperparameter optimization using advanced computing resources (e.g., HPC clusters). Detector
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(e.g. radar, satellite, SWOT, SMAP, GOES, etc.) Hydrodynamic model optimization and surrogate modeling Infrastructure risk assessment and resilience analytics Integrate AI methods with physics-based
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lab models for evaluating coating stability, durability, and antimicrobial efficacy Integration of coating and biological performance data to guide optimization of multifunctional coatings. Your profile
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as