14 structural-engineering-"https:"-"Grenoble-INP---Institute-of-Engineering" positions at HHMI
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. More information about Dr. Card and the lab’s research can be found by visiting https://www.hhmi.org/scientists/gwyneth-card About the Mechanical Engineer role: You will be a general-purpose engineer
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(minimum) - $122,549.00 (midpoint) - $159,313.70 (maximum) Data Engineer III: $112,629.60 (minimum) - $140,787.00 (midpoint) - $183,023.10 (maximum) Pay Type: Salary HHMI’s salary structure is developed
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datasets and use it to power a vision foundation model capable of accelerating discovery across the life sciences. We're seeking a skilled Data Engineer to drive scientific innovation through robust data
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at the following website: https://www.hhmi.org/scientists/jennifer-zallen About the Research Technician role: We are seeking an interactive, creative, and highly motivated researcher to assist in biomedical research
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about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We are seeking a motivated and creative Postdoctoral Scientist to join our dynamic
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professionals. Together, we’re unlocking the fundamentals of biology and building an open, inclusive future for science. We have an outstanding opportunity for an optical engineering-focused Postdoctoral
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: $149,515.20 (minimum) - $186,894.00 (midpoint) - $242,962.20 (maximum) AI Engineer IV: $184,453.60 (minimum) - $230,567.00 (midpoint) - $299,737.10 (maximum) Pay Type: Salary HHMI’s salary structure is
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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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of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will build methods for supervised
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Hutchinson Cancer Center. We are seeking a highly skilled AI Engineer to join our team and play a crucial role in advancing our AI-driven scientific initiatives. We already have an existing codebase (https