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Field
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% teaching component.) The Role The Macquarie University Lighthouse Fellowship (MQLF) supports researchers within three years of the award of their PhD who have an outstanding track record (relative
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or implementing deep learning approaches on existing clinical systems). Experience and interest in grant writing would be viewed favourably. To be successful in this position, you will have: A PhD in a relevant
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: PHAB – Centre for Planetary Habitability, and have a Norwegian Research School for PhD students (Research School for Dynamics and Evolution of Earth and Planets, DEEP). The Department aims to contribute
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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maintaining sequence databases, molecular phylogenetics and genomic sequence analysis. Experience with deep learning for structural biology and bioinformatics, protein sequence/structure methods, and
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical
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the fibre laser and deep learning domains. About you You will have a PhD in an experimental discipline or equivalent experience, ideally with experience in fibre optics and low-noise lasers and optical
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deep learning. You will contribute to several high-impact projects addressing hydrological extremes and their feedbacks within climate and human systems. Your work will have real-world impact, providing
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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required) Experience with machine learning / deep learning (PyTorch; model training; GPU workflows). Experience with Transformers / text embeddings / multimodal modeling (e.g., Hugging Face ecosystem