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postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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transition away from fossil fuels. For more information, please see the following link: https://www.unsw.edu.au/engineering/our-schools/photovoltaic-and-renewable-energy-engineering Skills & Experience: A PhD
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have a PhD and, ideally, a postdoctoral experience in computational chemistry, biophysics or related discipline with the demonstrated ability to develop and pursue innovative computational research
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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PRIMARY DETAIL - Salary Package: $109,272 (Level A, Step 6 - PhD awarded rate) p.a., plus 17% employer's superannuation and annual leave loading - Appointment Type: Full-time (35 hours per week
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area, such as ecology, computational biology or bioinformatics. Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of relevant postdoctoral research
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performing other duties that support the efficient operation of the research team. Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics, in particular, in one
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
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contributes to a nationally funded research program focused on improving bowel cancer screening, early detection, and treatment in rural and remote communities—particularly among Aboriginal and Torres Strait