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Field
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sciences increases with new mobile and stationary sensors and observation platforms becoming available, the need for processing these large data streams also increases. Such datasets provide exciting new
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for geospatial information with a view to establishing longer-term adoption and acceptance and EO-based information in large-scale operations; Together with the key partners and end-user communities
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drones and outdoor data collection with international teams, and have an interest in coding and handling large spatial and temporal datasets, this position is for you. This PhD offers the opportunity
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R or Python). Good-to-have: You have experience working with large-scale text or visual data, or datasets related to history or culture. You tackle complex data challenges with curiosity and are
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Vacancies PhD position on attacks against large language models (LLMs) Key takeaways This project will investigate attacks on large language models (LLMs), a major recent development in artificial
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on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large
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including clinical data, cardiac imaging and digital ECG data extracted from electronic health records, genetic data from clinical diagnostic services and large-scale research projects, patient biomaterials
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board financial data, conducting financial analysis, and overseeing treasury and financing activities. Financial Operations: handling banking relationships, liquidity management, investments, financial
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-have: You can independently and confidently analyze quantitative data and you can write reproducible code (for example, in R or Python). Good-to-have: You have worked with large-scale text data, natural
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multiple brain areas in an optimised way. This may include neural network and neural mass modelling of large-scale brain activity during and after stimulation, and experimental tACS in healthy participants