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, and managing experimental and statistical data. Evaluate, develop, and test software solutions to support experimental and analytical workflows. Design, prototype and implement computational algorithms
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microcontrollers to coordinate hardware/software systems. Adapt existing machine vision algorithms to extract fly behaviors in real time and offline. Develop computational tools and analysis pipelines for processing
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, especially algorithms and computational complexity. Applied mathematics: computational mathematics, statistics and data science, physical mathematics, mathematical and computational biology, biostatistics
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to derive new physiological insights. Implement real-time processing algorithms. Manage and analyze data stored in different formats, HDF5, compressed binary files, and MS SQL databases and others Provide
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in neuromorphic vision and algorithm–hardware co-design. Prior work includes the design of dedicated neuromorphic architectures for efficient SNN execution Abderrahmane et al. (2022), as
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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technology, big data analysis, and AI algorithm applications; show innovative thinking for solving complex system control challenges; be capable of interdisciplinary collaboration in microbiology and related
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intelligence (AI) has the potential to substantially improve medical care, from early diagnosis to treatment planning and follow-up. Despite rapid technical advances, many AI algorithms in healthcare do not yet
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will be to develop novel or improve existing AI algorithms and conduct investigations aimed at improving our understanding of the evolution and function of microbiomes. You will be responsible
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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations