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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
on a high performance computing platform running Linux and a job control system such as PBS or SLURM. Ability to use various software for composing a manuscript and plotting figures and maps suitable
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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, Bash). Experience working in a Unix/Linux environment, including setting up and managing High Performance Computing (HPC) clusters. Familiarity with metagenomic data analysis and machine learning
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employ hydrodynamic and/or Fokker-Planck codes to simulate the initial plasma expansion leading to the creation of the HOFI channel. Setting up a simulation chain integrating these different tools will be
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
for different tectonic contexts. • The postdoctoral researcher's work will be disseminated in the form of publications and conference presentations. Recruitment is taking place as part of the SATELLITE project
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a postdoctoral fellow at the University. The individual cannot have held previous positions in the professional ranks. Preferred Qualifications Experience with NGS data analysis and Linux based HPC
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the assimilation of paleoclimate data in order to offer the best compromise between different scientific objectives for representing the climate and its variability, particularly in tropical areas. · Contribute
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-cell sequencing technologies to study mutagenesis and tumorigenesis. Our interests include the sex-specific molecular differences in the acquisition and maintenance of malignancies, the identification