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, conduct experiment, and deploy Large Language Models on high-performance cloud Linux servers; and (f) assist in summarising and writing up research findings. Qualifications Applicants should: (a
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learning methods to biological or clinical datasets. Proficiency in Python and R, with strong experience in Linux/HPC environments and workflow automation. Track record of publications in high-impact
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or heterogeneous feature handling is advantageous. Proficiency with Linux, version control (Git), and performance debugging tools. Excellent analytical, communication, and problem-solving skills. More Information
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) Comfortable working in a Linux environment Experience with data processing pipelines and data analysis The successful candidate should have experience with development of open-source computational tools
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genomic data. Demonstratable experience in the use of Linux command-line systems for bioinformatics analyses. Experience in working with microorganisms and in molecular techniques Experience of using
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cloud platforms for compute and storage. Version Control & CI/CD: Git, automated testing, deployment workflows. Experience with Linux systems, HPC, and distributed computing environments. Knowledge
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/genomics, systematic biology, or similar. · A record of scientific publication in peer-reviewed journals. · Experience analyzing genomic/molecular data, including experience with Linux/Unix and data analysis
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domain and will be involved in research and innovation projects in the field of HPC computing. The planned activities include research and development of applications on Linux operating systems and the use
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with Linux/Unix and HPC systems (SLURM) Experience with version control (Git/GitHub) Understanding of statistics for genomic analysis Preferred: Long-read sequencing analysis experience Proficiency in a
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software for data analysis, construction of images and movies and data presentation is highly preferred: FIJI, Image J, R, MatLab, MecaGen, Linux, Illustrator, Photoshop, Excel, PowerPoint Good record and