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institutions. What you bring: Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or equivalent combination of education and experience. 3+ years
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Ashburn, VA, with periodic travel for continued collaboration. The successful candidate will bring a deep interest in applying engineering and computational approaches to problems in biology and
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while advising stakeholders on data strategies and best practices. What you bring: Minimum requirements: PhD in Bioengineering, Computer Science, Data Science, Statistics, Applied Mathematics, or a
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join the Henry Lab at the Massachusetts Institute of Technology (MIT), led by Dr. Whitney Henry, an HHMI Freeman Hrabowski Scholar. The Henry Lab investigates the fundamental biology of ferroptosis
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pipeline for learning from a large-scale microscopy dataset. You will work with expert computational scientists, data engineers, and experimentalists to train models that learn foundational embeddings
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light microscopy imaging methodologies, including confocal, and light-sheet microscopy, hydrogel-tissue engineering, data analysis, and project management. 1-2 years of experience post-PhD is preferred
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about the latest advances in the field, and develop a scientific network. What you bring: A PhD in physics, biomedical engineering, neuroscience, or a closely related area of study is required. Experience
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students and junior researchers Collaborates closely with lab members, facility staff, and research partners. What you bring: A PhD in neuroscience or related field of the life sciences. A PhD in engineering
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-paced, highly collaborative environment. It is ideal for individuals planning to spend two years gaining hands-on research experience prior to pursuing a PhD or graduate program, offering exceptional
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collaboration and knowledge sharing. Access to a world-class computational infrastructure and large, high-quality datasets. The opportunity to engage with world-class researchers, software engineers and AI/ML