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will develop a design-build-test-learn cycle, combining high throughput experiments and active learning to obtain synthetic cells with the desired properties. You will integrate liquid handling robots
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, and additional expertise in mechanical testing and materials characterization will be considered a strong advantage. Required Qualifications PhD in Materials Science, Mechanical Engineering, Additive
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modeling approaches will be considered a strong advantage. Required Qualifications PhD in Chemical Engineering, Materials Science, Mechanical Engineering, Chemistry, Electrochemical Engineering, or a closely
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consequences for human health effects. You will help design, implement, and conduct in situ observation studies with partnered pilot sites (in the Baltic, Mediterranean, and Atlantic) complemented with
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and security challenges, build sustainable solutions, and provide expert perspective on using AI. Required Qualifications - PhD in computer science, statistics, data analytics, business administration
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and aspects related to safety and best practices. The candidate will make extensive use of state-of-the-art imaging, spectroscopy (Raman, electron microscopy, infrared, etc.) and scattering methods
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processing. The duties of this position will be to design and develop an integrated, cross-domain image-processing pipeline based on a common AI workflow in collaboration with researchers in experimental
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engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in Photovoltaic Engineering, Materials Engineering
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resilience for mental health outcomes. This is an opportunity for scientists who want to do more than apply established tools to familiar questions. The lab is interested in building a deeper framework for
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an international research and teaching environment, employs approximately 160 Danish and international researchers, academic staff, and PhD students. We excel in business management, including strategy, innovation