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, and access to our Employee Assistance Program for staff and their immediate family Career development opportunities – access to exclusive internal-only vacancies and our Study for Staff program On
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arrangements • Up to 12 months paid parental leave • Salary packaging options• Paid study leave and staff development programs • Fitness Passport and health insurance discounts • Free Employee Assistance Program
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activities, such as the Monash Minds Student Leadership Program. I am grateful for the support this scholarship has provided. It has empowered me to embrace new opportunities with confidence and has
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) program, with a focus on early-year teaching and research-informed education. About the role In this role, you will contribute to teaching across the MBBS program, particularly in social and behavioural
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: Commencing or continuing full-time in the Bachelor of Commerce honours program with an econometrics, business analytics or actuarial studies specialisation. Benefits $15,000 for one year only (48 credit points
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have any questions regarding this scholarship program or the application process please contact the WIL team. Email: ie.buseco@monash.edu Phone: 9903 8866 Every scholarship may have a different
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leave loading Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their
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is committed to The Circle Back Initiative program, whereby we will respond to every applicant. If you are experiencing technical difficulties with your application, please email the Recruitment team
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access to our Employee Assistance Program for staff and their immediate family Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program On campus
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council Discovery Project, this research aims to develop highly novel physics-informed deep learning methods...