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needs. Project background We are excited to announce an interdisciplinary PhD opportunity focused on mechanochemical processes driving radical formation and redox cycling in the deep subsurface, with
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, Computational neuroscience, including but not limited to deep learning, Neuroimaging (MRI, EEG, MEG, ultrasound or optical imaging), especially multi-modal imaging, Brain stimulation (TMS, tDCS, or tACS), and A
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Part-Time Lecturer for EE7207 Neural Networks and Deep Learning The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified candidates
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detected at a regional scale. The implementation of advanced InSAR processing chains will provide new insights into the phenomena observed and enrich the databases required for deep learning methods
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Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential
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development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside
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multilingual or speech impairment contexts. Programming Skills Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with web development (e.g., FastAPI, Flask
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, Mechanical), Computer Science, Applied Math/Statistics, Physics—or related. Candidates who will graduate in the near future are also welcome to apply. Strong foundation in machine learning/deep learning and
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options; TIAA retirement plans; generous vacation, sick, and personal time; and more. To learn more about employee benefits and eligibility at Bard College, please visit https://www.bard.edu/humanresources
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plans; generous vacation, sick, and personal time; and more. To learn more about employee benefits and eligibility at Bard College, please visit https://www.bard.edu/humanresources/benefits