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Field
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methods and algorithmic modeling for large datasets Experience with LaTeX, Unix/Linux Evidence of outstanding academic achievement Familiarity with standard economic and financial data sources, Internet
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
-on experience with Windows/Linux, Active Directory, virtualization (VMware, Hyper-V), and Microsoft Azure cloud ecosystems; Hands-on expertise with Linux-based HPC environments, job schedulers (SLURM or similar
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Policy. Intermediate familiarity with IGEL/Linux environments. Working experience with software packaging tools (Flexera Admin Studio preferred) in conjunction with deployment setup, and monitoring via
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support the operation and development of the Institute’s Linux-based compute infrastructure, including CPU and GPU clusters, storage systems, data centre hardware, networking interfaces, software
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related programming field. Strong experience with Linux, Python, and at least one additional programming language. Experience working with large, existing codebases. Experience in building web applications
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multi-platform network environment including mail service and client support, backup and restore technologies. Extensive hands-on experience administering Linux systems in production environments
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modules include: Individual Programming Project, Systems Architecture, Development Operations, Programming Tools. You can find descriptions of these modules on our curriculum management system: (https
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Assistant will build and test analysis pipelines for Next Generation Sequencing data (including Single Cell Sequencing) from cancer patients (with special focus on prostate cancer) using Unix/Linux computing
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skills with linux, programming, and scientific computing. Pay and Benefits Pay Range: $25.72 - $29.00 per hour; depending on education/qualifications/experience Time Appointment: 100% Appointment Position
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https