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Apply Now How to Apply Applicants are required to submit their applications electronically by visiting https://apply.interfolio.com/191044 and uploading the following: cover letter curriculum vitae
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program. Analyze and interpret remote sensing datasets (satellite, UAV, and/or LiDAR-derived) relevant to fire, fuels, and landscape-scale research questions. Develop and/or adapt machine learning and deep
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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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engineering in a unique way. The Atomic Scale Processing group (Prof. Miika Mattinen) in the Department of Chemistry and Materials Science (CMAT), is now looking for: Doctoral researcher (PhD student) in thin
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workplace. To learn more about our culture and hiring process, explore our Jobs at Macquarie page. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/415635/research-fellow-pho
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-informed learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 20 hours ago
cryptography or applied cryptography. A strong math background in related areas such as coding theory will also be considered. Capability of applying deep learning models and willingness to use them
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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computational methods with a particular focus on deep learning and image analysis. The project relies on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP
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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point