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crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how
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process, leading to more resilient development. An important second aim of the project is in working with networks of institutes in central Asia to strengthen capacity, and to develop further efforts in
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and analysis of probabilistic and social choice models, help with the design and conduct of experiments, perform literature reviews, and contribute to the drafting of technical reports and publications
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especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social choice theory
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patterns and ability to work under pressure without compromising accuracy will be vital to the success of the project. Desirable qualifications include proven skills in data analysis and some coding
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variety of social and sports clubs The post is available on a flexible hybrid basis. The minimum on-site time is 3 days/week About the Role The post is funded until 30 September 2030 and is based in
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, Biochemistry, or Biophysics. You should be driven, have experience in protein production, the analysis of interactions between macromolecules, and good background in structural biology and biophysics. Since your
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catalysts, product analysis (primarily using NMR and mass spectrometry), and reaction intensification. The project includes industrial partner, HydRegen (https://hydregenoxford.com/) and also involves
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. Experience with filamentous proteins, challenging protein purification and complex protein chemistry, and helical analysis would all be a plus. Enthusiasm for working in a laboratory environment and in a close
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postdoctoral research associate (PDRA) position on the project project Aggregating Safety Preferences for AI Systems: A Social Choice Approach, funded by ARIA under the Safeguarded AI TA1.4 call. The project