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application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including
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existing methods and state-of-the-art in the field. The position includes algorithm design, software implementation, and validation on experimental datasets. You will contribute to building a flexible
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guest researchers. As a postdoctoral fellow, you will take part in a range of different activities within the framework of the research cluster. The research is interdisciplinary, allowing for multiple
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 24 days ago
transfer algorithms for NASA GISS‘s general circulation model (GCM) to study radiative interaction and feedbacks between various atmospheric constituents and the climate system. Potential specific topics
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chain from theoretical innovation to industrial application. RESEARCH AREAS Currently, we are seeking candidates from different research areas. The more details can be kindly found as below: 1. Industrial
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of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well. The candidate’s work will entail the development and
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and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated
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make a difference in the world! Position Information Postdoctoral Research Associate in Agricultural, Animal, Rangeland, or Environmental Sciences Location: Texas A&M AgriLife Research, Temple, Texas
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different parties. Strong scientific motivation is expected. Great importance will be attached to personal suitability. Additional useful qualifications Since appointment as a postdoctoral researcher is a
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations