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a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a
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below. The candidate is expected to have hands-on experience in fields related to wireless communications. Key duties: The Postdoctoral Fellow will be expected to: Publish in high impact journals in
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a member of a team in a collaborative environment. Strong mathematical and analytical skills. Strong technical background in optimization in wireless communications/networking. Experience with
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. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
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and architectures and their issues questions for very high data-rate wireless communication. Lab in a chip, small, low-cost, and multi-functional devices, systems, and industrial and medical
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fields related to wireless communications. Key duties: The Postdoctoral Fellow will be expected to: Publish in high impact journals in the field. Supervise graduate and undergraduate students. Contribute
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. Strong technical background in optimization in wireless communications/networking. Experience with programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in