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patients. You’ll use cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and
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Job Description We are looking for a postdoc who can help establish a national infrastructure for the collection and sharing of biomedical health data in Denmark, named "The Biomedical Data
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applied machine learning projects in, e.g., computer vision, in close collaboration with industry partners. The position is not connected to an existing project, so the postdoc fellow will either join an
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maintaining OU's research computing systems, including but not limited to the following: Linux cluster supercomputer Internal research cloud Large scale, high-performance disk system(s) Large-scale tape archive
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. Familiarity with high-performance or cloud computing (Slurm, AWS, GCP). Technical Knowledge or Skills: Background in high-dimensional or spatial statistics. Familiarity with tidyverse, Bioconductor, scikit
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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and coordinates role of TAMIDS postdocs attached to the projects. Communications, Training, & Mentorship- Serves as a point of contact and local expert concerning these operational data for Texas A&M
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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, the Community Earth System Model (CESM). Stratospheric Aerosol Injection (SAI) is a controversial, hitherto hypothetical method to cool the earth by injecting a thin reflective cloud layer into the higher
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for different research applications Knowledge of computer programming languages Experience of working in a high-performance computing environment (e.g. Slurm) and/or with public/private clouds (e.g. AWS/Azure