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, 2) design and evaluation of technology to reduce the carbon footprint of the health and social care system. Qualifications/ experience: PhD in in a subject relating to health services research
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Drive real-world impact in rural cancer prevention. Collaborate with communities to co-design meaningful health solutions. Grow your research career in a supportive, purpose-driven environment
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, solid phase synthesis, and molecular design . We are looking for someone with experience / wish to learn some of the following: complex chemical systems, reaction diffusion, analytical chemistry, chemical
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. Supporting cohort maintenance and engagement activities. You will have a solid understanding of survey design and methodology, including ethical considerations in longitudinal research. You may have experience
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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programming. Experience with sustainable design principles is a plus. This is a unique opportunity to work on pioneering advancements in sustainable aerospace alongside industry experts. If you’re ready to make
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design. Proficiency in Python programming. Experience with sustainable design principles is a plus. This is a unique opportunity to work on pioneering advancements in sustainable aerospace alongside
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materials integration, nano-enabled coatings and multifunctional composites. The main duties foreseen are: Design, synthesis and optimization of Cu-Metal-Carbon interfaces in copper based nanocomposites
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 19 hours ago
& PEWER Level A & B Postdoctoral Fellow & Research Fellow.pdf Position Overview The Australian National University is seeking to appoint a Postdoctoral Fellow/Research Fellow in User Experience Design (0.5
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reverse translation. ● Design and analyze multi-omic experiments, with a primary focus on understanding COPD disease biology from preclinical models and patient samples. ● Identify and integrate relevant