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research environment with broad expertise including cardiac, cellular biophysics, imaging, aging, and proteomics. PI commitment to mentoring and career development opportunities tailored to allow
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measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren for the study of critical aerodynamic phenomena such as flow separation, transition
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution
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for developing novel diagnostic, imaging, and therapeutic strategies. Our program uses peptide- and antibody-based combinatorial library selection to discover, validate, and exploit the vascular biochemical
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to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then
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or a closely-related field. Demonstrated experience with SAR image processing using SNAP, PolSARPro or similar. Experience in the use of SAR for agricultural applications. Demonstrated proficiency in
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in