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Field
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, build, and analyze digital & computational tools and algorithms, while also developing the ability to critique those same tools and algorithms. Bates DCS faculty are prepared to support candidates as they
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candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable cancer care in
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Develop algorithms for reconstruction of virtual histopathology images from sparse phase-contrast CT acquisitions of oncological specimens Comparison with standard histology and assessment of algorithm
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assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and discrete optimization, computational optimization, inverse problems, and optimization methods
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Employment Career Development Help and FAQ Apply Now Responsibilities* Develop computational methods, tools & algorithms for mass spectrometry-based proteomics data analysis; design and implement new FragPipe
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that capture interactions between device characteristics, circuits/systems behaviours and algorithm performance. Qualifications • Min bachelor’s degree in Electrical Engineering, Computer Engineering or
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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, including documentation, implementation, algorithm development, and high-level and complex data analyses. • Creates, facilitates, and directs a complex scheduling scheme involving large numbers of research