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-zero emissions by 2050. About You Applicants should have a doctorate degree or equivalent (PhD/EngD) in Engineering, Manufacturing, Transport, Computer Science, Data Science, Sustainability, or a closely
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knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and
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delegated by the Principal Investigator Job Requirements PhD degree in Electronic Engineering, Computer Science, or related field Knowledge of pinching antennas, wireless communications, and machine learning
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Applicants should have a doctorate degree or equivalent (PhD/EngD) in Engineering, Manufacturing, Transport, Computer Science, Data Science, Sustainability, or a closely related subject, or be close to
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About SCELSE The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a leading interdisciplinary research centre jointly hosted by Nanyang Technological University (NTU) and the
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-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading
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demonstrate adaptive, light-driven networks that combine sensing, memory, and computation. The role is well suited to candidates who wish to further develop their expertise in neuromorphic technologies and
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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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design Engineering » Communication engineering Technology » Communication technology Technology » Computer technology Technology » Information technology Technology » Internet technology Technology
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13 Apr 2026 Job Information Organisation/Company Politécnico de Leiria Department School of Technology and Management Research Field Engineering » Computer engineering Researcher Profile First Stage