305 algorithm-development-"Multiple"-"Simons-Foundation" Fellowship positions in Australia
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assessment and feedback practices for people with acquired brain injury through developing a co-designed training to improve engagement, self-efficacy, and rehabilitation outcomes. This is a fixed-term (3
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
, with access to state-of-the-art facilities and resources. This position offers an excellent platform for career development in plant molecular biology, genomics, and crop biotechnology. The Person We
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an excellent platform for career development in plant molecular biology, genomics, and crop biotechnology. The Person We are seeking a highly motivated postdoctoral plant scientist with a strong background in
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preparing manuscripts for publication, reports and presentations. As part of a collaborative and supportive academic environment, the Research Fellow will be encouraged to actively develop their research
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our benefits on offer: 17% Superannuation Subsidised onsite parking options Flexible working options Training and professional development Onsite childcare facilities Discounted health insurance
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other domains (including industry), we can help boost capability, train WA’s future workforce, grow businesses, and create jobs. To learn more about CIRA, please visit the below websites
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friendly, motivated team working towards development of high-precision measurement technology for gravitational wave detection. This position is within the ANU Centre for Gravitational Astrophysics (CGA), a
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environment, with access to state-of-the-art facilities and resources. This position offers an excellent platform for career development in plant molecular biology, genomics, and crop biotechnology. The Person
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and be acknowledged at a national level as being influential in expanding the knowledge of your relevant discipline. As the Research Fellow, you are expected to plan, develop and engage in high quality
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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