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biology approaches and early-adoption of cutting-edge technologies Operating with Linux and high-performance clusters (HPC) R/Python and Snakemake or Nextflow (or comparable platforms) OUR REFERENCES
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workflows. Familiarity with Linux/HPC environments (for the modeling position). Experience with data visualization or handling large datasets. Demonstrated interest in climate physics and/or cross
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suitable evolutionary models Development and implementation of novel phylogenetic approaches, including those implementing protein structural information. Where to apply Website https
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motivated with strong written and oral communication skills. Preferred Qualifications: Experience with first-principles calculations, DFT, Machine Learning, HPC. The individual is expected to actively pursue
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16, 2018. For getting more information about this, we suggest consulting the DGES portal (http://www.dges.gov.pt ). It may be waived to present it during the application phase for the support in
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Education and Experience: *Master’s degree *Familiarity with big data frameworks or cloud/HPC environments is a plus *Experience in healthcare, biomedical, or EHR/EDR data *Experience with Python and relevant
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at scale via distributed software solutions on both local HPC and cloud-based assets. Our datasets comprise petabytes, and are growing rapidly, linked to key clinical endpoints. This requires a strong
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of experience in progressively responsible roles, with: Experience in using, administering large-scale, Linux-based high-performance computing (HPC) clusters or configuring software programs and applications in
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Optimization Design and oversee enterprise-scale genomic pipelines for SNV/indel calling, structural variant analysis, annotation, and QC. Implement cloud- and HPC-based workflows for large-scale genomic
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of it, is focused on the languages of Norway, Scandinavia, and Europe. For additional background, please see: https://www.mn.uio.no/ifi/english/research/groups/ltg/ https://openeurollm.eu https://hplt