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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting
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include studying carbon metabolic pathways and genetic determinants underlying bacteria-phage interactions in Bacteroidales. We are a new lab looking to grow with funding from foundation and NIH. Research
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adapted and revertant strains through allelic exchange, and examining the contribution of these genetic changes to pathogenesis-related phenotypes. Generating metagenome assembled genomes from shotgun
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projects include studying carbon metabolic pathways and genetic determinants underlying bacteria-phage interactions in Bacteroidales. Research projects leverage cutting-edge techniques, including DNA
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, biochemistry, or related field, demonstrated research productivity, and expertise in any of the following areas: microbial genetics, physiology & metabolism, analytical biochemistry (FPLC/HPLC/LC-MS/MS), animal
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(e.g. dopamine, norepinephrine) in the brain of living animals Use electrochemical microsensors coupled with genetic techniques Test animal behaviors (e.g. self-administration, anxiety-like behaviors
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in molecular and cell biology is essential. Preferred Qualifications Experimentation in mouse genetics and histology are plus. A neuroscientific background is not necessary but is a plus. Physical