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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
within a dynamic and collegial academic setting. Ideal Candidate Academic Level A – Postdoctoral Fellow The ideal candidate will hold a PhD (or be near completion) in physics or a related field, with
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Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a
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required: PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics
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the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate – EarthBank who has: a PhD or have submitted a PhD thesis in a relevant geoscience field
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collaboration with NSW DPIRD Scientists and Managers (as part of the NSW Marine Estate Management Strategy) and support a variety of research students (Honours, Masters and PhD) and this position will also play a
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research group. The successful candidate will be expected to make a vigorous contribution in one or more of the following research areas and contribute to the supervision of PhD and MRes research students
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have: PhD in a relevant discipline and/or other relevant qualifications and experience. Capacity to contribute to research and administration. Quantitative and/or mixed methods research skills and a
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position at RMIT Vietnam in The Business School, you will need to be able to meet the following research criteria. For candidates with a PhD awarded within the last 3 years (Early Career Academic), although
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regional backgrounds themselves, including Aboriginal and Torres Strait Islander candidates. Skills and Experience To be considered for this position, you will have PhD in Education or related discipline
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming