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are currently seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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for studying ageing but is rare in wild populations. We will analyse longitudinal changes in social networks and biological age (using an epigenetic clock) within individuals to reveal the effect of social
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of porous electrodes, advanced imaging and characterization, and validation in electrochemical cells. Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by
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Your job Are you passionate about tackling climate-related challenges and empowering climate-affected communities in Africa? Do you want to pursue an interdisciplinary PhD research project with a
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. Experience in data analysis using Python. The outcomes of this project will be disseminated to the scientific community and a general audience through presentations at (inter)national conferences and through
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. However, technology that is not co-designed with the communities it is intended to serve often fails to address real needs and is not widely adopted. The TACIT project aims to improve access to public
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community and a general audience through presentations at (inter)national conferences and through publications in peer-reviewed journals. You will also participate in English-taught Doctoral Education courses
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accessibility by 2025, marks a critical step toward reducing these inequalities. However, technology that is not co-designed with the communities it is intended to serve often fails to address real needs and is
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? No Offer Description Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities
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candidate, you will dive into this puzzle, exploring how plant community structure, host quality, and fungal diversity interact to influence disease risk. You will combine mesocosm experiments in