Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer-reviewed publication Strong communication and
-
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
-
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
-
Job Description St. Jude is seeking a seasoned bioinformatics research scientist to lead and participate in the development of multiple scientific products and initiatives on the St. Jude Cloud
-
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
-
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
-
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
-
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
-
. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
-
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