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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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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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-Computer Interaction, Software Engineering, Computational Sciences, or a in a similar field Strong foundation in programming, algorithms, and experimental or applied research in a technical domain and
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processing and estimation algorithms for positioning in high-dynamics NTN scenarios, accounting for satellite mobility, Doppler effects, and time-varying propagation conditions Exploring GNSS-5G coexistence
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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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or MATLAB, integrating data preprocessing, feature extraction, and classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high
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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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venuesStrong programming skillsSolid mathematical foundation, including linear algebra, probability, statistics, and optimizationBroad and in-depth experience with machine learning algorithms and deep learning
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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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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and