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Field
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research environment Preferred Qualifications Experience with organoid systems or advanced 3D culture models Experience with infection biology or immune signaling pathways Experience with in vivo disease
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expertise in working with adipose tissue expertise with 3D culture models experience with cell culture general expertise in gene editing and CRISPR-Cas 9 technology Expertise in bioinformatics. the ability
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fluorescence tomography at beamline 2-ID-E and 2-ID-D with focus on bioimaging of soil aggregates, as well as computational framework for modeling and reconstruction of related 3D datasets. The successful
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quantitative modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 10 days ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field
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3D modelling tools. Experience in using MATLAB/ Python and various CFD software to develop fuel cells and engine models for powertrains and propulsion systems within the transportation and energy
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changes in microgravity conditions. d. Ability to perform cell culture and tissue models such as 3D tissue models and microfluidic systems to simulate microgravity. e. Understanding and experience with
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) reconstruction of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making for self-driving and/or human-in-the-loop experiments; (3
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time will be devoted to computational modeling of atmospheric acoustics and generation of scholarly products (papers and presentations). Approximately 60% of the postdoctoral scholar’s time will be
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, or related 3D stem cell models Proven skills in advanced imaging and quantitative analysis of dynamic processes Interest in interdisciplinary approaches at the interface of biology and physics Excellent