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Field
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at Griffith University. We are seeking applicants with active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage
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and algorithms in the lab for processing and visualizing proteomics data using the FragPipe and FragPipe-Analyst platforms. The successful candidate will collaborate closely with other lab members
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coding using R and adeptness in using RStudio for data analysis. Produce comprehensive reports and presentations in PDF and HTML formats using R Markdown. Knowledge of machine learning algorithms
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to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and
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. Position Specific Responsibilities/activities: Particularly for the project: Developing Quantum computing algorithms and methods including optimization and quantum machine learning algorithms, in particular
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. The location, retrieval, and conversion of raw data into usable information is accomplished by implementing a variety of neural network models. Students implement deep learning algorithms for organizing and
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to testing. Analyses, designs and builds component-based applications including introduction of an application layer, modeling techniques, component and object-oriented design, complex algorithmic
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about what goes on "behind" the feed in terms of algorithms, advertising etc. but most of all how to create engaging - and sometimes viral - content for a larger organisation Your place of employment: SDU
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reports and presentations in PDF and HTML formats using R Markdown. Knowledge of machine learning algorithms. Proficiency in Canvas and content organization. Excellent communication skills. Responsible and
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oral communications skills needed - a writing sample is required. ? Expertise in processing large volumes of data and algorithm design expertise. ? Experience in market design applications preferred