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, including students and postdocs. The key objective is to support efforts to study the general principles of cellular lipid homeostasis and how they are used by neurons to control brain function. For more
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or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
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with data to experts and non-experts alike; and • Experience in sourcing, selecting, and applying machine learning techniques and designing algorithms that can be communicated to, and used by, non
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Machine Learning algorithms Experience in conducting neuroimaging studies in educational contexts Experience in working with databases. Responsibilities Liaise with stakeholders (E.g. participating schools
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Responsibilities: Designing and developing scalable algorithms for building Data+AI systems. Writing research papers of high quality based on research results Building deployable Data+AI systems based
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platforms and experimental pipelines for algorithm validation. Visualize simulation and experimental results to support decision-making and research findings. Contribute to: High-impact publications in top
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, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Design and implement research, including statistical models and algorithms to extract insights from data Develop
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algorithms Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with quantum-safe alternatives Support the development of technical documentation
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Roles Lead a retrospective study utilizing a decade of health data to create a comprehensive HRI database. Investigate the distribution and determinants of HRI by applying epidemiological methods
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science Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Project duration: 6