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Field
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Familiarity with Unix/Linux operating systems. Experience working with the University of Oslo's TSD environment is considered an advantage Containerization (apptainer/singularity, docker) Manage HPC clusters
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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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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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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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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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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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. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python). Supervisory
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(IaC) tools (e.g., Ansible/Terraform). Install and configure a DNS solution based on Bind9 (or an equivalent solution) in a laboratory/test environment running Linux. Investigate and test Split Horizon
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of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Solid understanding of Linux kernel structures; - Experience
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; - Experience with Linux, Docker, and MongoDB technologies; - Experience with cloud technologies and deploying solutions on on-premise infrastructures Minimum requirements: - Knowledge of Software Engineering