56 algorithms-phd "INSAIT The Institute for Computer Science" Postdoctoral positions in Australia
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nanotechnology-based approaches to modulate the immune system and create enhanced translational immunotherapy strategies in cancer. To be successful you will need: Completion of PhD (within last 5 years
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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-lab.com/ ) • Focus: Structure/function of chromatin-associated complexes using cryo-EM and biochemical approaches • Requirements: PhD in structural biology/protein biochemistry; expertise in protein complex
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, Medicine, or Engineering) demonstrated experience or knowledge of one or more of the following: computational algorithm development working with medical images, in particular CT or cone-beam CT a
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, with the possibility of an extension. About You To be successful in this role, you should possess the following skills and experience. PhD in Computational Biology, AI, Bioinformatics or related field
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of the project assist with the mentoring of the PhD students that are part of the Laureate program. About you a PhD in creative music practice and music technology, preferably with a research focus on themes