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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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generation of AI leaders. Through industry exposure and structured cohort activities, you’ll gain the skills and networks needed to shape responsible, high-impact AI development across research, government
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interest in publishing and presenting scientific results Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer
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for a Symbiotic and Collaborative Society with Humans and AI” Area. This research project will be conducted as a joint project with Professor Norihiko Saga of Kwansei Gakuin University and Associate
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systems engineering, electrical engineering, or other relevant areas Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems
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on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! This HDS-LEE PhD position will be located at Forschungszentrum Jülich with strong
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to $120,000 AUD per year, for up to three years Up to $5,000 AUD per year in tailored academic and wellbeing support Aurora will facilitate community and network-building opportunities for individuals and the
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Infrastructure? No Offer Description Work group: IBG-4 - Bioinformatik Area of research: PHD Thesis Job description: Your Job: Develop methods and workflows to construct robust co-regulation networks from large
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at Honours and Masters levels Currently recruiting students via universities around Australia Receive actual industry exposure and partner placements to develop your skills and network Encouraging students