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. The RA2 must have strong working skills in machine learning, including deep learning, python programming and using PyTorch, and the ability to quickly learn in a fast-changing environment. They will design
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analyses, socio-ecological systems modelling, and programming in the R or Python languages will be an advantage: Collate existing work on local and international fishing cultures. Work with NIFCA and local
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sensor systems Implementation of digital signal processing (Python or MATLAB) Experimental characterization of optical and electrical components (lasers, optics, optical fibers, etc.) Planning, simulation
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in the R or Python languages will be an advantage: Collate existing work on local and international fishing cultures. Work with NIFCA and local fishing communities to define research requirements
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design and evaluation. Experience in interdisciplinary projects, including AI for healthcare and data systems. Proficiency in programming languages such as Python, Java, and C++, with experience in
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benchmarks for AI alignment and safety. Background in security of AI agents, including backdoor detection, adversarial attacks, and defense methodologies. Proficiency in Python, deep learning frameworks (e.g
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statistical software programming (SAS, R, or Python) and data analytics and visualization (Excel), including automation features such as scripting and macros. A focus on accuracy and attention to detail
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architecture such as Docker or Kubernetes; experience with writing secure API’s with Nodejs, python or similar; knowledge of XML, CSS, AJAX, Javascript, at least one Javascript framework like React, JQuery
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databases or LIMS; proficiency with scripting (e.g., Python, SQL) and version control (Git); familiarity with wet-lab workflows and molecular-biology protocols; strong communication skills and confidence
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serve as a senior member of the Centre’s software team. The job will involve writing code in Python, Java and Typescript and developing the cloud infrastructure and Kubernetes services on which it runs