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Field
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efficient transmission and robust communication. This work involves formulating rigorous analytical models, designing efficient algorithms, and establishing performance characterization methods that drive
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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algorithms for fluid-structure interaction solvers What you will do Independently develop numerical methods and codes for fluid-structure interaction of wind-powered ships Carry out and analyse high-fidelity
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, misinformation and political communication, science of science, scientific inequality, collective behavior, human-machine cooperation, algorithmic privacy, and new methods for discovering social heterogeneity. We
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, algorithmic auditing, machine-learning evaluation, or human-computer interaction. Experience conducting multilingual, cross-cultural, or Global South-focused research is particularly valuable. Application
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University We are looking for a highly motivated postdoctoral researcher with a strong interest in optimization. The position will involve the development of novel reformulation and algorithmic methods
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computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks
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or improvement of existing or new algorithms or computational strategies; collaboration with international partners. Your team You will work within the Bioinformatics chair group at Wageningen University, in
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
acoustic propagation that are applicable to a wide range of ocean environments. (40%) Lead efforts to translate propagation and uncertainty models into computationally efficient algorithms that can be