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Practice and Science Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacy-practice-science-department Location Tucson Campus Address Tucson, AZ USA Position Highlights The
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accelerate discovery Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous research Digital twins and simulation-augmented AI tools Key Responsibilities: Evaluate
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field models, and hardware-aware numerical algorithms on large-scale HPC platforms and emerging architectures such as quantum, analog, and neuromorphic computing. Teaching responsibilities will involve
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Ability to curate and integrate large scale biomedical data Experience with workflow management and HPC environments Interest in RNA biology, alternative splicing and computational method development Strong
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intelligence to solve complex, interdisciplinary challenges? Are you interested in transforming theoretical AI concepts into practical, scalable solutions on high-performance computing (HPC) systems? If so, we
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with Git/GitHub and reproducible computational workflows. Experience working with high-performance computing (HPC) clusters. Experience working with herbarium collections or botanical specimens
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set of skills appreciated both in academia and industry. You will have access to a unique combination of HPC resources: Aalto Triton cluster (versatile Tier-2 system for testing, porting, and
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pipelines, or tools are an advantage. experience working with clinical or cancer patient data is advantageous. experience with High Performance Computing (HPC) is an advantage. a solid background in cancer
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. Working closely with the High Performance Computing (HPC) Lead, you will shape Curtin’s secure research environment and ensure it meets institutional, state, Commonwealth and sector accreditation
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, or comparable workflow-management systems. Experience using containers such as Docker, Singularity, or Apptainer. Experience with HPC and/or cloud-computing environments. Experience designing metadata standards