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rigorously. Develop, implement, and optimize signal and image processing algorithms using appropriate programming environments and computational tools. Contribute to the definition of system
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
experience in geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement
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prototyping, and Python programming would be beneficial; Experience with embedded system development, particularly programming MSP430 microcontrollers in C, is also preferred; Familiarity with NASA
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research areas listed above, but experience in programming and method development is preferred. The successful candidates will have opportunities to shape the research directions within the scope of their
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neurovascular coupling in health and disease. We are seeking highly skilled and motivated mathematical and/or programming postgraduate students to join our neurovascular research team that is
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., patch clamp recording), two-photon imaging, confocal microscopy, and strong programming/data analysis skills. Candidates should have one or more first-author publications and be capable of leading
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about programming and mathematical modeling A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Priorities will be given to candidates
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research teams and with diverse research participant populations. Experience in one or more of the following areas is preferred: computational programming, computational modeling or simulation, auditory
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., differentiable programming) for upscaling of GHG fluxes, and who is willing to discuss the model complexity needed to capture global-scale wetland GHG emissions. The work will build on ongoing model
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foundation in linear algebra (tensor networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank