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or data to inform research outcomes. Proven skills in study design and data collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and
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. There are many elements of expertise required in this project, and it is not expected that the applicant will have experience in all of them. You will be expected to work with other team members who have more
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Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under uncertainty with applications in multi-robot domain. We will explore
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collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and familiarity with or experience in secondary data and its analysis. Demonstrated
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to equity, diversity, and inclusion , fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method
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Chemistry or related Discipline or have equivalent qualifications or research experience. Demonstrated experience in analytical method development and operation of advanced analytical equipment (e.g. LCMS, GC
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(PhD entry Level - $108,156 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods
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community. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please
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-atomic potentials using a combination of classical and machine-learning (ML) approaches (and a new hybrid method recently developed in our group). Some of the types of simulations that will be performed
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wider community. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal