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software and advanced computer skills. Demonstrate the ability to learn new techniques quickly and deliver work in a timely manner. Have experience with advanced mass spectrometry platforms, particularly
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. The candidate will have a PhD in Computer Science or Machine Learning (or be able to demonstrate equivalent research experience) and possess a deep and demonstrable knowledge of these fields. They must be a
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(PhD entry level $105,518 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods to analyse
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detector, construction of the outer detector system in the far detector, development of machine learning algorithms for particle reconstruction, and studies of CP violation in neutrino oscillations
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including the application of artificial intelligence and machine learning. You will engage with industry, government, and research collaborators, fostering partnerships that deliver outcomes aligned with
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an opportunity for a Postdoctoral Fellow. You will contribute towards the research effort of UNSW in the field of machine learning algorithms to analyse luminescence images of solar cells or panels. This position
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functionalisation, fabrication and characterisation of carbon materials for application in solar cells Predication and discovery of new materials for next generation solar cells driven by machine learning
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machine learning models with a focus on computational chemistry (e.g. machine-learned force fields) Experience with mechanistic and physical organic chemistry studies of chemical and biochemical systems
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. You will also have: A PhD in Machine Learning (especially robust and adversarial machine learning), or closely related discipline A record of quality research as evidenced by publications in leading
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to epidemiology, biostatistics and modelling including machine learning methods A sound understanding of clinical trials in mental health, including developing, evaluating or translating novel interventions. A