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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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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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and focuses on the technological development of fishing gears, techniques and methods that can contribute to promoting economic and environmental sustainability in the fishing industry, and that can
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imaging-driven quantitative Mass Spectrometry-based omics methods, both at bulk population and single-cell levels, for this project. You will work closely with experts in cellular signalling, proteomics
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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will develop imaging-driven quantitative Mass Spectrometry-based omics methods, both at bulk population and single-cell levels, for this project. You will work closely with experts in cellular signalling
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. Qualifications Applicants with experience in mixed methods, particularly digital methods, data scraping/analysis and qualitative research (Netnography and interviews) will be preferred. Proficiency in English and
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theory with insights from economics, sociology, psychology, and economic geography. Methodologically, the department places considerable emphasis on the solid application of empirical methods, featuring
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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analytical methods across the EU. Responsibilities and qualifications You will be a central part of our laboratory operations, and your task will be focussed on supporting our EURL-PC responsibilities as