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We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https
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intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application. Appointments will be made on a two-year contract basis, in
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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connected and valued on their academic journey. Internationally recognised research drives innovation in digital transformation, health, and sustainable development. This scientific progress is supported by
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will work with faculty, staff, and researchers in the College of Allied Health Professions (CAHP) and with collaborators across campus to: 1) develop procedures for organization, cleaning, processing
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Details Additional Information Posting Category Operations Working Title Automation Systems Programmer I Job Title Facilities Specialist (Prof) Salary Grade FP23S Appointment Type B1 - REG MGR PROF SALARY
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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gradient flow methods hold significant potential for the development of sampling algorithms. The research goals are structured into the following primary tasks: Parameter identification: The problem
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We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https