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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
; proficient with Unix/Linux. Experience with deep learning, statistical modeling, or AI applications to biological data. Familiarity with transcriptomic technologies, ideally single‑cell RNA‑seq or long‑read
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, Bioinformatics or related fields with an interest in biology or Biological sciences with a strong background in programming Expertise and experience in programming, Python or R Expertise to work in a Linux
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computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term until 31 December 2026. The closing date for applications is noon
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, Bioinformatics or related fields with an interest in biology or Biological sciences with a strong background in programming Expertise and experience in programming, Python or R Expertise to work in a Linux
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. Familiarity with Linux/Unix is an advantage. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UAR636-ALERUB-036/Default.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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work with ancient DNA. - Experience in high-throughput sequencing on Illumina platforms (i.e. DNA library preparations). - Knowledge of Linux operating system. - Familiarity with bioinformatic analyses
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/modification, translation). • Comfortable in a Linux/Unix environment; basic shell scripting and Python or R skills. • Strong quantitative mindset and motivation to develop analysis pipelines for NGS and
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programming skills (e.g., Fortran, Python; familiarity with Linux/HPC environments). strong motivation to work in an interdisciplinary environment bridging molecular theory, nanoscience, and light–matter
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with (remote) GNU/Linux systems. It is strongly advantageous if you have excellent study results and a strong background in mathematics. You are skilled at implementing new models and algorithms in a