24 parallel-and-distributed-computing-phd research jobs at Monash University in Australia
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to optimise instrument performance. The successful applicant will have demonstrated understanding and knowledge in the theory and application of S/TEM and a PhD or equivalent qualification and will possess
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applicant will have advanced understanding and knowledge in the theory and application of S/TEM and a PhD or equivalent qualification and will possess sound interpersonal skills, along with excellent written
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biology models Testing and evaluating new therapeutics in support of a drug discovery program Delivering high-quality, timely data to the MTDD–Servier joint project team Supporting project milestone
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collaboratively with colleagues, strong computer literacy with proficiency in Microsoft Office and relevant university systems, and the ability to learn new software as required. Experience working with schools
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, fabricate structures at the Melbourne Centre for Nanofabrication, and measure their optical and electrical properties. The successful candidate will have a PhD in Physics, Materials Engineering, or a closely
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across academia and industry. This position forms part of a major national program in Australian green ironmaking and will utilise Monash’s world-class analytical capabilities and pilot-scale facilities
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will support the Creative Destruction Lab (CDL) program by managing the application and admissions process, including engaging with applicants, coordinating interviews, and assessing submissions
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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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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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