53 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Australia
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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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-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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combatting wildlife trafficking and environmental harm. To be successful you will need: PhD in a relevant discipline such as computer science, data science, digital forensics, cyber security or a related field
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disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics engineering. To learn more about the School click here . The Clean Combustion Group
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chemistry, peptide chemistry, organic chemistry, and chemical biology train and supervise undergraduate and PhD research students enhance a positive workplace culture and the strategic direction
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as required About you PhD or PhD under submission in biomedical engineering, dentistry or relevant field a developing network of academic, industry and professional partners and stakeholders a
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, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners. High level of communication skills. Mandatory Qualifications: PhD
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Qualifications: PhD Qualification in the relevant discipline area. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the RMIT School
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(e.g., OGTR, ethics) apply and manage human and animal ethics approvals/modifications, and GMO approvals. About you You will have: PhD (or equivalent) in a relevant field such as cancer biology
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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in