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Field
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tools for forage producers. The research aims to advance ecological weed management strategies and provide producers with practical information to optimize forage production, livestock performance, and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
the glycome of tumor neoantigens defines and modulates T cell functions in the colorectal cancer context, further exploring how the glycoreprogramming of neoantigens constitutes a novel opportunity to optimize
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algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches
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Complexity» (NewPC). About the project/work tasks The project aims to develop multivariate algorithmic and complexity tools for optimization problems involving geometric and algebraic objects such as points
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Science Center (NOROCK) and Columbia Environmental Research Center (CERC) seek a postdoctoral fellow to be a part of the development, optimization, and implementation of scalable pipelines for environmental
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interface optimization within unconventional reservoir rocks. The role balances core DOE deliverables on fundamental huff-and-puff mechanisms and processes with exploratory research into advanced chemical
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approaches. Develop, optimize, and maintain code and algorithms supporting predictive models. Combine computational algorithms with laboratory automation to enable self-driving laboratories and automate
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complexity tools for optimization problems involving geometric and algebraic objects such as points, vectors, linear spaces, and matrices. Qualifications and personal qualities Applicants must hold a master's
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therapeutic targets associated with the response to new antitumor agents. Participation is also expected in the implementation and optimization of experimental methodologies, the integrated processing and
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these systems in both classical and quantum regimes, we aim to develop new methods for solving complex optimization problems and advancing machine learning architectures. The research involves investigating how