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Field
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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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printing software, etc.; proficient in software engineering using C/C++, OpenCV, Matlab, Unity3D, etc.; knowledge of machining; Linux and development on Linux systems; and proven system integration and
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Experience with unstructured grid ocean modeling system. Experience of using programming language Python to deal with large 3D ocean data. Ocean modeling under Linux environment; Python programming; SCHISM
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, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as Python, R, MATLAB, or Perl Excellent written and verbal communication skills in English, along with a
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systems, automated workflows, or LLM-based development environments (e.g., OpenAI Codex, Claude Code, or similar) is a plus Proficiency in Python, Linux, and HPC environments Experience working with
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, Go, Rust, Java, or R is a plus Solid experience with Linux-based development, Git, testing, debugging, and modern software engineering practices Familiarity with APIs, structured data formats
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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. Experience with data analysis using language models is beneficial. Experience in the usage and configuration of Linux-based systems. Very good programming skills in Python. Knowledge of another programming
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, practical experience with Linux/Unix, High Performance Computing, and scientific programming is recommended or the willingness to learn these skills, basic expertise with scientific data analysis, good skills
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scientific conferences/journals. Qualifications: Ph.D. in genomics/computational biology/bioinformatics/statistics/computer science or related discipline Experiences in Unix/Linux shell Proficient in at least