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Description The Research Training Group (in German: Graduiertenkolleg, GRK) RTG2670 “Beyond Amphiphilicity: Self-Organization of Soft Matter Via Multiple Noncovalent Interactions” in the second
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual annotations). The research will be conducted
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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or write a statement directly in to the application form, quoting the studentship reference code BI095, stating the title of the studentship, how your interests and experience relate to the project
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of Europe’s biggest research centers and help us to shape change! Are you eager to pursue a four-year doctoral project that bridges scientific disciplines? Are you excited by complex societal challenges
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
at Monash University has multiple PhD Scholarships available to work on some exciting projects. Conduct cutting-edge research at the frontiers of Whole Cell Modelling! Projects include: Integrative Modelling
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focus on understanding how axons maintain their structure and function, and how these processes break down in disease. You will have the opportunity to contribute to one of our ongoing projects addressing
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), Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) the Chair of Adaptive Dynamic Systems offers a position as PhD Student / Research Associate in FPGA Design for AI
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take place at multiple locations across Sweden; a driver’s license is therefore required. Within this project, the successful candidate will work and participate in an active research environment, and must be