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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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at the Institute for Regeneration and Repair. In this role, you will contribute to cutting-edge research using genomic data to understand why critically ill patients respond differently to infection. Your work will
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, spectrum analyzers and network analyzers; Experience with radar and navigation systems, Experience with scientific programming languages, such as MATLAB and LabVIEW. The target hiring range for this job
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is to investigate localized flow and crystallization processes of PCMs in devices under different conditions with advanced 3D imaging tools like CT and NMR imaging, and to couple this with performance
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biophysicist familiar with the laser trap and in vitro motility assays. These skills will be used to characterize the single molecule and mini-ensemble properties of three different classes of myosin: muscle
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includes the prefrontal cortex with a focus on selection between stimuli of different value and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a
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an interdisciplinary research environment aimed at achieving a comprehensive understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working
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, optically-pumped magnetometers, to understand how early learning develops. You will address how caregivers’ behaviour influences infants’ learning and how early differences in learning predict language and
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MATLAB. Operate different exposure chambers and help develop new ones. Independently generate various airborne exposures, including aerosols and gases from electronic cigarettes, insecticides, pesticides
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different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science