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Field
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learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
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in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing systems, data collection
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) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience
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analysis and bioinformatics approaches, with programming ability in R, Python, and Jupyter Notebook. Experience with version control systems (Git/GitLab/GitHub) and workflow languages (e.g. Nextflow, Common
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analysis and bioinformatics approaches, with programming ability in R, Python, and Jupyter Notebook. Experience with version control systems (Git/GitLab/GitHub) and workflow languages (e.g. Nextflow, Common
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, or an equivalent combination of experience and training. Experience designing, developing, and supporting complex software applications and systems. Strong Python development skills, including
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, computer science or a related discipline. Experience with Python or another scientific programming language would be highly desirable. Prior experience with GNSS-IR or data assimilation is not essential, provided
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consequential areas strong technical capability in relevant programming languages and analytical tools, such as Python, R, machine-learning frameworks, large language models, or related computational technologies
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oral communication skills in English Applicants who demonstrate the following desirable criteria will be highly regarded: experience in analysing large-scale omics datasets in R or python strong general
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including work with the Robot Operating System (ROS), and one or more of C/C++, Python, embedded systems, navigation systems, computer vision systems, web and/or user interface design capacity to maintain and