33 computational-biology-physics-training Postdoctoral positions at The University of Arizona
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metabolome data collected for a population of individuals with hypermobile Ehlers Danlos Syndrome. This person will also train, supervise, and support professional and student personnel in the lab. The ideal
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and cellular biology techniques (qPCR, Western blot, CRISPR, etc.) Knowledge of vitro cell models and in vivo animal models (viral/fungal) Knowledge of general pathophysiology and molecular biology
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of experiments or simulations. Develop, implement, and refine computational and/or experimental techniques relevant to the project. Analyze data, prepare publications, and present findings at scientific meetings
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results. Scholarly collaboration - Submit experimental results for publication in peer-reviewed journals. Train and supervise research assistants (undergraduate, graduate, and technical staff) working
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of our research program is to understand the neural circuits that underlie cognitive and emotional behavioral decision-making. Many of our research projects are focused on neuromodulatory circuits such as
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of tailings dam design, monitoring, and risk assessment frameworks. Comprehensive understanding of physical, chemical, and rheological properties of tailings and their implications on stability and flow
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. The fellowship will provide training opportunities. This position is eligible for visa sponsorship. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and
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key role in project management, data analysis, and manuscript preparation. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU
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at Biosphere 2. Together with an interdisciplinary team of scientists, the Postdoc will develop upscaling methods to estimate ecosystem scale transpiration based on locally observed energy balance partitioning
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) located at Biosphere 2. Together with an interdisciplinary team of scientists, the Postdoc will develop upscaling methods to estimate ecosystem scale transpiration based on locally observed energy balance