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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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; 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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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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, 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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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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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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proficiency with basic computing packages such as MS Word and Excel and will have some familiarity with one or more of the following (Linux, MATLAB, SPM, FSL, fMRI). Strong interpersonal skills, prior research
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programming (e.g., Python) and working with Linux/Unix environments. Solid mathematical/statistical skills. Preferred/desired qualifications Experience in applying for ESA projects, Horizon Europe, and similar
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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