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/or experience in microfluidics and image processing. Strong interpersonal skills, teamwork, scientific curiosity, and ability to synthesize information. Where to apply Website https://emploi.cnrs.fr
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, Python or similar) Specific Requirements Interest in optical imaging and interferometry. Prior knowledge will be a plus Interest in computational methods, image processing and machine/deep learning. Prior
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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financial management and oversight, with comprehensive understanding of, and big picture thinking about, operation costs and related financial needs. You’ll need extensive experience in advising and
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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting
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using techniques such as X-ray micro-computed tomography and X-ray Absorption Near Edge Structure (XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and
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the experimental setup, synchronising the cameras, optimising the illumination, and developing image-processing methods to extract propagation pathways and velocities. Several plant species and different branching
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sciences (i.e. physics, mathematics, computer science, engineering, computational biology) with motivation for crossing disciplines to solve complex biological processes. Experience in Plant Biology and/or
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
in neuroengineering, focused on brain-computer interfaces (BCIs), brain function imaging and interpretation, closed-loop neuromodulation, and the translation of neuroengineering innovations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
in neuroengineering, focused on brain-computer interfaces (BCIs), brain function imaging and interpretation, closed-loop neuromodulation, and the translation of neuroengineering innovations