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-series data assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective. About you The
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academic staff (with an increasing degree of autonomy) provide informal mentoring and advice to students within discipline (where appropriate) ensure quality, standards and excellence are maintained in any
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conference presentations. provide informal mentoring and guidance to junior team members, including undergraduate and PhD students foster a positive and inclusive workplace culture that values diversity
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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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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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interventions). They will also assist in research project administration and reporting, data analysis, and actively contribute to research outputs and grant applications. Key skills required: (Level A) PhD in
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 8 hours ago
required. Who You Are (skills and experience): A PhD in chemistry, physics, materials science or a related discipline, and/or relevant work experience. Demonstrated expertise in density functional theory
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: A PhD in immunology or a related biomedical science discipline, ideally with a focus on adaptive immune responses. Demonstrated technical experience in techniques relevant to exploration
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-lab.com/ ) • Focus: Structure/function of chromatin-associated complexes using cryo-EM and biochemical approaches • Requirements: PhD in structural biology/protein biochemistry; expertise in protein complex
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journals and assist with preparation of research grant applications Assist in the supervision of graduate and honours level students Interpret and present data to collaborators and develop your profile