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Python/R and Linux/UNIX, or expertise in structural variant analysis with motivation to upskill computationally. Experience in cancer genomics/epigenomics and high-throughput sequencing. Proven track
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well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 3 years. The closing date for applications is noon
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advanced expertise in developing AI applications using offline/online LLMs (e.g., GPT, Qwen, DeepSeek, Mistral, Llama, Gemma) within Linux environments. They must also demonstrate proficiency in clinical
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. Expertise with R and Linux shell is essential. Python experience preferred. Does this position have supervisory responsibilities? No Preferred Education/Experience Statistical genetics, genetic epidemiology
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and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub, containers is recommended. Familiarity with cloud technologies, databases and Pangeo ecosystems is a bonus. The Term
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), familiarity with Linux Proficiency in English and ability to work in a team Outstanding analytical and problem-solving skills Employment terms: The successful candidate will be employed by Mohammed VI
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drug and genetic screens (e.g., DepMap, PRISM) Common bioinformatics resources and pipelines (e.g., NCBI, Ensembl, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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Operations, Laboratory Techniques, Linux, MATLAB, MRI Analysis, Oral Communications, PET/CT, Python (Programming Language), Researching, Results Reporting, Scientific Writing, Statistical Analysis, Unix