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Strong research background in statistical learning problems -- especially from a theoretical perspective -- as evidenced by publications Knowledge of MATLAB/R/Python Good written and oral
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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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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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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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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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participation in conferences and events. Desirable It is desirable that the candidate has a Masters or PhD in electronic engineering, computer science or equivalent Fluent in Python and Python Libraries: Scikit
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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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Experience with coding in Python. Experience with powerpoint presentation. Comfortable presenting work to the RAPID and RISE teams. Strong written and interpersonal communication skills, with an emphasis
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that connect ISR's internal systems with AI models and services such as UM-GPT, OpenAI, Claude, and locally hosted research models. The position focuses on developing automation and data workflows using Python