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cloud computing environments Familiarity with genomic databases and resources such as UCSC Genome Browser, gnomAD, and NCBI. Solid foundation in applied biostatistics and statistical interpretation
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functional validation, including priority access to cloud computing, a local high‑performance computing facility housed in a state‑of‑the‑art data center, a genomics laboratory for developing new omics
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applications. Assist in the development, implementation, and maintenance of relevant databases or data warehouse. Develop prototypes for cloud portals and visualization tools; programs for the analysis of data
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
for large radiology datasets in HPC and cloud environments (e.g., SLURM, Kubernetes, AWS). Promote best practices in version control, testing, CI/CD, modular design and documentation. Provide technical
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instrumentation for coarse mode aerosol and cloud characterization? If so, we invite you to join the Aerosol Physics and Environmental Physics Group. As a Senior Scientist in this position, you will be part of
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of where time frame may not be clear and where end results may be uncertain. What you bring: PhD in Computational Biology (or statistics with biological applications) Cloud computing experience. Proficiency
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technical role A solid understanding of secure systems design (e.g., SOC, HITRUST CSF) and data protection principles Familiarity with architectural concepts related to: Cloud or hybrid infrastructures Data
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Faculty Position, Department of Pharmacy and Pharmaceutical Sciences - Pharmacoeconomics / Health Ec
St. Jude Cloud and extensive repositories of patient-derived xenografts matched to primary patient samples and data. St. Jude is located in the heart of Memphis, Tennessee, a vibrant and friendly city
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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scalable cloud-based sensitive data analysis environments FIMM Sandbox and FinnGen Sandbox, and cloud-based datalake at HUS university hospital. Further information on the research areas and FIMM group