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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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sequencing is highly preferred · Experience with single-cell data analysis · Proficient in Linux/Unix-based high-performance computing (HPC) environments and job schedulers (e.g., SLURM or qsub
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data engineers, contributing to high-impact research on cancer prevention and risk. About you The successful candidate will work in a collaborative and internationally connected research environment
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, visualization, and manuscript/grant preparation - within a collaborative, interdisciplinary environment spanning hematology, oncology, and computational biology across CU Anschutz. Why work for the University
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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to development of a collaborative and supportive research environment. About ZeroPC ZeroPC is an ARC Hub and partnership between University and Industry aiming to develop sustainable zero-emission power generation
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proud to hold Athena Swan Silver Awards. As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality
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of computational biology, artificial intelligence, statistical genomics and cancer research within a collaborative and internationally competitive research environment. Key Responsibilities Computational Genomics
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or equivalent • Knowledge and understanding of a research environment • The capacity to work independently as well as part of a team with strict deadlines to achieve results • Experience in
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these newly funded projects, mentor junior researchers, and help maintain an organized and productive laboratory environment. This position is grant-funded; employment is contingent upon the continued