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records in hydrology, AI/ML, or water resources engineering. Preferred Qualifications Experience with: LLMs, graph neural networks, transformers, or physics-informed neural networks (PINNs). Cloud computing
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volumetric 3D/4D microscopy data analysis tools. Experience with high performance compute environments (cloud-based and slurm/lsf clusters) and model deployment platforms (e.g., Kubernetes, AWS SageMaker
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obtained through a Bachelor's degree in Computer Science, Information Technology, or related field; technical certifications in relevant areas (e.g., cloud platforms, MLOps, data engineering) preferred and a
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Posting Details Position Information Job Title Assistant/Associate Professor Position Number 929788 Vacancy Open to All Candidates Department AAH CET Technology Systems Department Homepage https
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Michigan Medicine through project and program management services tailored to patient care, education, research, or IT infrastructure. Examples of large projects managed by the PMO include IT modernization
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Services (AWS) or other cloud computing platforms Demonstrated ability to multi-task and work effectively within tight schedules Familiarity with version control systems and continuous integration Preferred
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service experience Demonstrated knowledge of the operations of personal computers and the functions of the software including knowledge of Adobe Creative Cloud Additional Information: Graduate students
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degree preferably in Computer Science, Business, or a related field. Hands-on experience with Cloud ERP systems (such as Workday, Oracle Cloud), including participation in implementations, upgrades
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(such as SAS, R). · An ability to work with high performance computing environments and cloud computing. · Good organizational skills across multiple projects, managing own workload, self
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worldwide with world-class expertise and instrumentation for multidisciplinary nanoscience and nanotechnology. Learn more about CNM themes at: https://cnm.anl.gov Focus Areas (expertise in one or more is