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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
recruitment, inclusion and retention of employees with disability. To find out more, please click here . ANU is a large, diverse employer with staff working across numerous professions (see the full list
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
retention of employees with disability. To find out more, please click here . ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here . We
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recruitment, inclusion and retention of employees with disability. To find out more, please click here . ANU is a large, diverse employer with staff working across numerous professions (see the full list
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gyms. Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme. Commitment to our Indigenous Australian staff through initiatives
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Numerical Simulations of Complex Dynamic Systems, E.g. Turbulence, Hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization Econometrics Virtual power plants Power systems and/or
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retention of employees with disability. To find out more, please click here . ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here . We
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contingent on the availability of funds. Level of Participation: The appointment is full time. Participant Stipend: Stipend rates may vary based on numerous factors, including opportunity, location, education
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to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph theory, and statistics. Algorithm
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the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver