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mathematical integration, with the desired outcome being to increase the water and/or nitrogen use efficiency of Australian cropping systems. We propose to use a range of emerging data science approaches within
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This funding is available to students undertaking study in: Anthropology, Media and Performance Arab World Studies Archaeology Art History and Visual Studies Arts Management and Cultural Practices
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, which are organized into different muscle layers and exhibit a broad spectrum of myosin heavy chain isoforms not present in any other muscle (7) . As a result, it remains unclear whether EOM resilience
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History and Visual Studies Arts Management and Cultural Practices Chinese Studies Classics and Ancient History Criminology Digital Humanities, Cultures and Media Drama East Asian Studies English Literature
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international students and doctoral candidates Welcome event Cultural and linguistic preparation Visa matters Help with finding accommodation Support with registration procedures General services and support for
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characteristics Good at anticipating problems and identifying logical solutions as well as contradictions and inconsistencies Develops effective, sensible and practical solutions to problems Sees the big picture
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of these two PhD positions. The PhD candidate is expected to address the following research questions: How can innovative tools and methods like design fiction, speculative design, eco-visualizations, serious
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effect Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 1 day ago
on career development; career advice is also integrated in the TAC meetings Support for international students and doctoral candidates Buddy programme Visa matters Pick-up service Welcome event Supervisor
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of learnt features in deep neural networks. Specifically, we aim to: • Develop methodologies to interpret and visualize the features learnt by neural networks in a human-understandable manner. • Investigate