7 parallel-processing "LCC CNRS" Postdoctoral positions at SUNY University at Buffalo
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development of improved software workflows for biomarker data generation and for geoscience process modeling, conduct field work and synthesize existing data for model calibration and database synthesis, co
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neurovascular interventions. • Process and analyze computed tomography and digital subtraction angiography data to characterize vascular anatomy and potential navigation pathways. • Develop and evaluate
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to treat cancer and inflammatory diseases. The work will require mastering a broad spectrum of skills from fluorescence microscopy, nanomedicines, biomaterials, immunology, and cancer biology. In addition
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what determines biodiversity patterns and processes across scales. Following an upcoming team meeting, the postdoc will have flexibility to respond to emerging science questions and identify synergies
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, Raspberry Pi, or similar platforms). • Experience with computer-aided design (CAD) software and rapid prototyping techniques, including 3D printing. • Experience developing artificial intelligence and machine
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school and community partners Assist with iterative design and refinement processes based on classroom feedback, user data, and research findings Knowledge, Skills, and Abilities Successful candidates will
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schooling behavior of relatively small fish as they navigate complex turbulent flow fields. Using novel analytical techniques for data processing, using numerical models of varying complexity to expand