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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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, proximal transducer assays, second messenger assays) to understand GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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., Native PAGE, cryo-EM) to GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary research teams Working under broad
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the Addiction & Impulsivity Research Lab and the Computational & Systems Neuroscience Lab . You will be part of a collaborative environment that integrates expertise in psychology, neuroscience and computational
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
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, languages and social sciences. The Postdoctoral Research Fellow in Indonesian History sits within the School of Philosophical, Historical and Indigenous Studies which undertakes teaching and research in
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements