22 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at The University of Arizona
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settings and associated data processing and analyses. A demonstrated track record of project leadership and relevant publications. Preferred Qualifications Prior research experience in two or more of the
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the Italian time allocation process as PI as well. You will be expected to lead high-profile, independent research that optimally uses the capabilities of the LBTI, SHARK-NIR, and SHARK-VIS, such as (but not
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: How to prevent, treat and ultimately cure diseases that affect millions of people worldwide How to address the growing environmental concerns threatening our planet How to ensure food security and
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examination to animals including, but no limited to: echocardiography, tissue doppler, treadmill. Perform open chest myocardial infarction surgery and repetitive ischemia surgery. Develop and maintain detailed
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on the scientific potential/achievement of the candidates, technical experience/expertise in developing an imaging data-processing pipeline would be highly desirable. We are especially interested in candidates
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on the scientific potential/achievement of the candidates, technical experience/expertise in developing an imaging data-processing pipeline would be highly desirable. We are especially interested in candidates
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. The group’s areas of interest span a broad range of topics including lunar processes, the origins of presolar circumstellar dust, the high-temperature origins of the first solar-system solids, and low
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patch-clamp electrophysiology, and mouse tissue processing to investigate how neural circuits, synaptic physiology, and neuroinflammatory pathways contribute to pain modulation. Candidates should hold a
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experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Presenting results at national conferences. Leading the development of manuscripts with the aim
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internal state and environmental structure shape their functional operation. To address these questions, we use an observational and causal approach, combining monitoring and decoding of neural activity with