64 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"Prof" Postdoctoral positions in United Kingdom
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Field
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conducting calibration observations with the new receiver. Additionally, you will get to participate in a new VLBI program where full Stokes observations at millimeter wavelengths are conducted. Your network
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
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, peaceful, and stable society. It is well-organized and has very little bureaucracy. English is our working language and is widely spoken in the country. Finland is a great place for living with or without a
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. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
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doctoral thesis and of your master thesis, for each three pages, plus table of contents, and review and grading reports copy of the certificate of your completed doctoral and master program proof of language
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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sciences, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of networks Proven ability to publish in leading international journals Excellent
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets