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from advanced centrifuge tests with numerical simulations. We are looking for candidates with a PhD in geotechnical engineering and proven experience in numerical modeling of offshore foundation systems
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
, and testing of detector components using the UNH test stand. Analyze test beam and cosmic ray data to characterize detector response. Collaborate with hardware engineers and software developers
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research on new models integrating terrestrial plant biodiversity, ecosystem productivity, hyperspectral remote sensing and airborne LiDAR to test prominent hypothesis of the effect of tree diversity
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predictive modeling and allowing for scenario testing in precision medicine; Applying transformer-based architectures to model sequences of clinical events and other time-ordered data to predict the future
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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microanatomy. These organoids will be used for translational tests of nanodrug activity, helping to predict patient responses to the applied (nano)hormonechemotherapy and demonstrating that it could compete with
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Department owns the ESP laboratory that is actively used for testing of batteries with equipment like power cycler, environment chamber, electric impedance specstropy, etc. The DCE&S group is responsible
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profile is suited for the activity to be performed, can submit their applications. Candidate(s) of the contest holding qualifications obtained abroad must prove the recognition, equivalence, or registration
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. Your work will focus on Designing and conducting experimental research on advanced preclinical imaging (spectral CT) and irradiation techniques (gated irradiation). Developing and testing software
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proteins and prepare them for use in functional assays. Knowledge of fluorescence microscopy techniques including epi, TIRF and STORM. Proficiency with LabView software. Ability to rapidly learn new software