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Field
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with ab initio methods. Proficiency in software such as VASP, Quantum ESPRESSO, Critic2 and Gibbs2. Experience in high-performance computing and parallel processing. Additional Qualifications Considered
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processes to ensure bioburden reduction and then developing robust assays and quality controls to measure and verify the process met its intent. You are expected to perform high level experimental and
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Information: 2 openings available. Internal Number: JR89249 Position Summary Functional Genomics of circular RNAs in Alzheimer's Disease. The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, is
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of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
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the candidate to be comfortable with interactions with mice to maintain a successful operation of the research activities. Fundamental knowledge and an interest in molecular and cell biology is a necessity
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and performing experiments Developing and validating new methodologies/applications relevant to the research Administrative (5-10%) Writing full-length, high-quality scientific publications Presenting
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strong track record of scientific publications. Familiarity with high-performance computing environments is a plus. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access
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, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
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diseases. The Post Doctoral Associate will lead projects exploring how environmental exposures and respiratory pathogens alter airway function, contribute to high-impact publications, and support grant
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between neuromodulation and fMRI. The postdoc will work on the network level perturbation of neurocircuits using high-definition neuromodulation. This postdoc will lead scientific discovery in developing