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ggplot2, and experienced in managing research projects with tools like Git/GitHub, ClickUp, and Jupyter Notebooks; Advanced in NLP, text mining, and graph analytics, including the use of NLTK, spaCy
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- III, Sarver Heart Center Posting Number req26948 Department Sarver Heart Center Department Website Link https://heart.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The
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(CBA). Performs other duties as assigned. Additional Job Description Required Qualifications: Ph.D. in Data Science, Analysis, Graph Theory, Algebra, Combinatorics, Applied Math or Statistics, or related
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( https://www.i3s.univ-cotedazur.fr ) is a joint research unit between the CNRS and the Université Côte d'Azur with Inria as secondary regulatory authority. i3S was one of the first laboratories to be
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quantum AI and who can: designing statistical inference/learning techniques suited to the analysis of quantum information (e.g., structured/functional data, graph models) developing learning
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, IMUs, EMG, force plates, wearable sensors). Familiarity with modern deep-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with
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networks and graph-based neural operators for fast estimation of 3D coronary hemodynamics (velocity, pressure, and wall shear stress fields); design computational pipelines that integrate image-based
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scientific goals on our lab website (https://hscrb.harvard.edu/labs/arlotta-lab/). In addition, the Arlotta lab is actively working to foster an equitable and inclusive community. Basic
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experiment or project. ABOUT THE LAB We encourage applicants to read more about our scientific goals on our lab website (https://hscrb.harvard.edu/labs/arlotta-lab/). In addition, the Arlotta lab is
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) Comparative Morphology and Machine Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb