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The Scientific Data Group You will join the Scientific Data Group within the Technical Division of MAX IV Laboratory. We develop and operate high-performance data acquisition systems for cutting
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forward to receiving your application! Your work assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion
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the legitimacy and acceptance of ambitious climate and energy policies? A central part of the research will involve surveys and survey experiments, providing opportunities to develop and test new theoretical
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methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout your studies, you will
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energy-harvesting devices. The successful candidate will focus on ionic thermoelectric materials and electrochemistry, developing and investigating advanced electrolyte and redox-active material systems
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of 20 per cent of full-time. Your work will include: Development and characterization of soft MIEC materials. Development and characterization of functional separator materials. Investigation
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responsibilities will be to lead and develop undergraduate and second cycle education in experimental medicine. The successful candidate will therefore be expected to be prepared to take on key leadership roles
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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Lab at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. The Yant Lab develops computational and genomic approaches to understand evolution, adaptation, genome dynamics, and
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– shaping a resilient and sustainable world. The Division of Marine Technology develops knowledge and solutions for the sustainable maritime systems of the future and a fossil-free society. Through