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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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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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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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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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training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https
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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
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international networks, participate in conferences and engage in exchange programmes abroad. More information about the graduate school and its research profile (in Swedish): https://www.kau.se/rose
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particular, we aim to develop a neural network architecture that will allow us to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design