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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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) to join a dynamic, interdisciplinary research team. Our team performs health economics research to better understand and develop policies to lower health care spending and improve healthcare delivery and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings
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validating machine learning models and deep learning algorithms; analyzing large datasets, perform data cleaning, transformation, and feature engineering to prepare data for model training; deploying AI
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to one of the following areas: lattice geometry, Diophantine approximation, algorithms in algebraic number theory, real and complex hyperbolic geometry and applications to singularity theory. You should
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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of algorithms, data structures, high-performance computing, machine learning and microbiology. The position at the Department of Molecular Biology at Umeå University is temporary for four years to start
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element tools the lab has developed. The position has the opportunity to develop new tools to enhance the lab’s capabilities in annotating transposable elements (TEs) and repetitive sequences. The Ou Lab is
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focuses on modeling IoT-Fog environments, designing multi-objective optimization algorithms (latency, energy, reliability), and developing strategies for critical IoT applications like smart cities and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software