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photoelectrochemical ammonia synthesis funded by the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral
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., deep learning methods, multimodal AI) for the automatic identification of behavioral cues during ecological interactions with people and the environment and analyses of video and speech/language data
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involves building and training deep-learning models for TEM image reconstruction and interpretation, linking image features to local chemistry, defects, and dynamic transformations under varying
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. We are seeking a qualified Postdoctoral Research Fellow to join a team with international reputation for producing high quality research outcomes in the area of Inertial Confinement Fusion
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
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machine learning and deep learning methods, including architectures such as Transformers, RNNs, and CNNs, and related models used for sequence, image, graph, or multimodal data. Demonstrated experience
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qualified Postdoctoral Research Fellow to join a team with international reputation for producing high quality research outcomes in the area of Inertial Confinement Fusion. The successful candidate will
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for extension) Location: Macquarie University, Wallumattagal Campus (North Ryde) About the Role We are seeking a curious and enthusiastic postdoctoral researcher to play a key role in an ambitious industry
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extension. • Location: Macquarie University, Wallumattagal Campus, Dharug land, North Ryde. About the Role We are seeking a curious and enthusiastic postdoctoral researcher to play a key role in an ambitious
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successful candidate, you will: Develop MR pulse sequences and perform image reconstruction. Conduct medical imaging post-processing using conventional and deep-learning based approaches. Coordinate MR imaging