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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
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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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with HPC (Linux, batch systems) and handling large simulation datasets (I/O, post-processing, analysis). Background in theoretical physics with at least basic knowledge of plasma physics and turbulence
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; Linux or Unix-based computing environments. Creating or maintaining reproducible bioinformatics workflows; Sequence processing, genome assembly, variant analysis, lineage assignment, or phylogenetics
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, fairness, privacy, or explainable AI. Experience with biomedical image processing, radiomics, or digital pathology. Scientific programming on Linux or high-performance computing environments. LICENSES
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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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(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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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