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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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-Direct the Responsible Conduct of Research (RCR) Program for postdocs Partner with the Center for Bioethics to deliver the RCR Program. Teach RCR sessions using cutting edge pedagogical techniques
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FASTQ files, read quality, adapter contamination, sequencing depth, and read duplication Strong programming skills Strong knowledge of RNA-seq analysis pipelines High-Performance Computing and Data
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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Preferred Qualifications: Experience performing molecular biology techniques, including DNA isolation, RNA isolation, PCR, qPCR, and gene expression analysis. Experience operating high-performance liquid
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engineering, environmental engineering, applied mathematics, and computational science. Access to state-of-the-art computational infrastructure and high-performance computing resources. Opportunities
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high-performance computing, together with experience in transcriptomics data analysis and computational biology. Excellent communication skills, the ability to develop new research ideas, and a
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manufacturing, design for sustainability and robust design and optimization into your research. The position has a clear focus on computational approaches. You will use scientific and high-performance computing
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 26 days ago
Germany, France and Switzerland, our institute offers an international research environment with outstanding infrastructure facilities and a positive working atmosphere that places a high value on work-life
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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
. • Strong computational and programming skills (Python, R, Linux, and high-performance computing environments). • Demonstrated experience in genomics data analysis, evidenced by peer-reviewed publications