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implications of speech and / or neurotechnologies in such applications of AI and their relevance for minority groups. Working environment: The Health Data Lab (HDL) is a research group at the Department
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Requirements PhD degree in biomedical engineering or other relevant engineering disciplines from a reputable university Demonstrable good publication track record Highly motivated with ability to work
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
Design, working in close collaboration with the School of Engineering, the Fenner School of Environment and Society, and the ANU Institute for Climate, Energy and Disaster Solutions. Funded by
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educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies. CTP will generate knowledge and innovation across disciplines
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multidisciplinary team environment. For Level B Applicants should possess a PhD in the discipline area. Additionally, you will demonstrate: A growing profile in research in the discipline area. A developing
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Protected Area. Mōu | Who You Are You will have completed a PhD in Population Genetics or Evolution, or a closely related subject. You will have excellent communication skills and written English, the ability
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to research deliverables, such as manuscript writing, attending local and/or international conferences Mentor and supervision of undergraduate/PhD students and junior research staff Collaborate effectively with
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related discipline, such as Mathematics. You will have (or expect to obtain shortly) a PhD or equivalent qualification in the relevant area. Familiarity with automata (e.g., two-way automata and transducers
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working. The salary for this post is at Grade UE07: £41,064 – £48,822 per annum. Appointment will be made within the first 3 points of the scale. Your skills and attributes for success: PhD (or close to
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of biology and the effect of mutations. He/she would also be required to have a sound computational background, especially in the area of simulations. Criteria of the candidate: PhD in the field