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Field
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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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processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI. Experience of authoring good quality academic publications. Manage undergraduate research
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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
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analysis, including time-domain, spectral, and statistical analysis; Programming experience in C/C++ and Python; Knowledge of development in an embedded Linux environment; Experience producing scientific
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(e.g., Python, Fortran, and task automation in a Linux environment) (25%); ii) scientific output (e.g., published scientific articles, conference proceedings in the field of air quality) (25%); iii
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
structure adjustment). Strong programming skills (e.g., Python, R) and experience working in Linux/HPC or cloud computing environments. Evidence of scholarly productivity (publications or substantial research
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keeping (essential) Strong expertise in T cell biology (desirable) Proficiency in computational analysis (e.g. R, Python, linux command line) (desirable) Experience in generating and analysing single-cell
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condition of employment that the master's degree has been awarded. Experience with Python programming, the ability to work comfortably in the Unix/Linux environment, and handling large climate datasets in