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), data classification, privacy, and compliance in an enterprise setting. Scripting skills (e.g., PowerShell, Python or C# for UiPath activities) desirable. Ways of Working & Delivery Experience working in
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experience. 3+ years of backend development experience in Python, Node.js, or Go. Demonstrated experience contributing to software/system architecture in SaaS or data platforms. Proficiency with cloud
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positively to a diverse academic community. DESIRED CHARACTERISTICS Proficiency in at least one programming language (e.g., Python, C#, or Ruby) and platforms commonly used in digital forensics and backend
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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at least one modern programming language (e.g., TypeScript, Python, JavaScript, Node.js, C#, Java). Hands-on experience with AWS, especially serverless services (e.g., Lambda, CDK, S3, IoT Core, API Gateway
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
looking for a motivated researcher with a PhD (or near completion) in fungal genomics or a related field, proven research output, and strong computational skills (Linux, Python, R, HPC). You’ll bring
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(e.g., Python, C#, or Ruby) and platforms commonly used in digital forensics and backend development. Familiarity with software development lifecycle including design and documentation of software
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approaches used in the molecular life sciences practical experience with research computing tools and languages (e.g. Python, R, shell scripting) proven ability to develop reusable training resources
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tools such as R, Python, Tableau, SPSS, or similar platforms. Excels at managing projects end-to-end, from requirements gathering to implementation and evaluation. Communicates clearly and confidently
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research, with experience designing and evaluating complex data-intensive systems. Strong programming (in C++, C, Java, and Python) and system design skills, with practical experience in large-scale data