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publications representative of your work and research interests, ideally related to Riemannian Optimization. Contact Information Melanie Weber Contact Email mweber@seas.harvard.edu Salary Range $67,600 – $91,826
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. Based in North Bethesda, MD, the IHC optimizes computational and analytical methods to build a learning health system for improving the health and quality of life of the citizens of Maryland. Key foci
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mid-infrared light source. The successful candidate will work closely with the Reporting Officer and his team to design and build a compact system that generates femtosecond pulses in the mid-infrared
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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State research institute Center for Physical Sciences and Technology | Lithuania | about 1 month ago
closely connected with applied research and industry collaboration. FTMC provides a strong scientific base, international research networks, and the flexibility for doctoral students to develop independent
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of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data
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, analyze data, and publish findings in high-impact journals. The role requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management strategies. Key
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of optimizing pipelines for large-scale genomic projects. Special Instructions Required documents: CV Research summary of PhD work. Cover letter describing your interest in the lab and initial ideas for new
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multi-modal characterization of neurobiology of stress response and resilience to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress
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international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The CQT S14 team is looking for candidates with strong background in Software Engineering, Computational Physics