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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,500 employees in one
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Australia, conducting research of the highest international standing. The successful candidate will exhibit a strong motivation to work in the multidisciplinary and collaborative environment of the PLN and a
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executing data collection and analysis for multiple research projects, with special attention to Crisis Response projects. Candidate must have a degree – preferably a master’s degree, PhD, or PhD candidate
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executing data collection and analysis for multiple research projects, with special attention to Youth Justice projects. Candidate must have a degree – preferably a master’s degree, PhD, or PhD candidate
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research, including experimental design, execution and manuscript writing across multiple projects. The path to Adelaide University We are on an exciting path to Adelaide University as we prepare to open our
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, workshops and summer schools according to the guidelines of the RTG curriculum; supporting scientific graduation work (Bachelor/Master/Diploma) in the subject-specific research field; regular reporting
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to a life-changing career, discover your possible at the NRC. Why Work With Us HAA is a vibrant research centre where astronomers, engineers, and data scientists collaborate to drive discovery. Our staff
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studies, anthropology, history, digital humanities, environmental humanities, and archival research—are encouraged to apply. The ideal candidate is someone who excels in collaborative work and who will
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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, with three other modeling-focused PhDs who will work at different scales of assessment. This work is embedded into a larger team of PhDs, who are collecting data, working on multiple topics, from ecology