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Field
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, exomes). Demonstrated experience as an expert level user of HPC infrastructure / Linux systems. Demonstrated experience implementing key R and / or Python packages. Track record of publications
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/ab initio workflows (Gaussian, ATK, CASTEP) and beyond - Mathematica, Python, Fortran implementations; UNIX/Linux environments • Collaborate with experimental groups and other theorists to design
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proficiency in coding, at least using Bash and Python. Applicants should maintain their code in a public repository (e.g. GitHub) and include the link in their application. Proven skills in Linux/HPC
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' bioinformatics experience in functional genomics, multi-omics, comparative genomics or statistical genomics. Demonstrate strong scripting skills using Python, R and Linux-based HPC or cloud environments for large
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. Experience working in Linux environments, including batch job management on shared computing resources. Familiarity with a variety of supervised and unsupervised classification techniques. Proficiency in one
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IT skills, including familiarity with Linux/Unix environments and HPC systems experience in assisting with the supervision of students undertaking undergraduate or higher degree research projects good
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Experience using Linux or Unix, and high-performance computing systems Experience with Python, R, or another scientific programming languages Experience with AI/ML approaches Familiarity with tools like BLAST
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learning Biobank and electronic health record (EHR) analyses Drug repurposing or translational genomics R, Python, Linux or cloud computing platforms Department Contact for Questions Applicants should submit
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of speech, audio, time-series or signal processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI. Experience of authoring good quality academic
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/BO; Docker/Linux/Git familiarity. Track record in automation or autonomous labs; good communication and collaboration skills. We regret to inform that only shortlisted candidates will be notified