16 phd-computational-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at University of New South Wales
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
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://www.unsw.edu.au/engineering/our-schools/photovoltaic-and-renewable-energy-engineering Skills & Experience: A PhD in photovoltaic engineering or related discipline, and/or relevant work experience. Knowledge and
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of yourself or others. About the successful applicant (Selection Criteria) To be successful in this role you will have: A PhD in Chemistry, Chemical Engineering or Materials Science. Demonstrated prior research
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who holds the following: A PhD in a biomedical, health, or related discipline, supported by extensive professional experience across academic research, scientific writing, grant development, and
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significant interaction with other scientists and clinical partners. Some skills required: A PhD in reproductive biology, cell biology, developmental biology, molecular biology or a related discipline