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, we are looking for a candidate who has: Experience with qualitative research methods, particularly semi-structured interviews and stakeholder analysis, is required. Familiarity with agri-food systems
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of study. They will have prior research experience of computational approaches and must also be able to demonstrate sufficient knowledge of the discipline, as well as research methods and techniques, to work within
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and 7 months to work on mitochondrial membrane protein complexes using structural biology methods, cryo-ET and STA. Expected start date and duration of employment The starting date is 1st February 2026
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have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain
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strong background in materials crystallography with measurement and analysis of diffuse scattering, including use of the 3D-DPDF method. Furthermore, the candidate preferably has experience in writing
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production in the making of existential risk imaginaries. To this end, the postdoc will map relevant institutions and actors involved in the construction of existential risk scenarios and inquire the methods
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Policy Implications and Recommendations Case Studies of Successful Innovation Funding Methods The project will employ a combination of methods, including machine learning (ML) and generative AI (GenAI
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documented research experience within production of field-grown vegetables or agricultural crops, and master state-of-the-art experimental and analytical methods in agronomy and agroecological research. You
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chemical trauma scenarios. Further, the plan is to develop a novel quantitative 3D bite mark analysis method. The overall perspective is to secure implementation of 3D dental data within the field
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental