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-environmental and geographical situatedness of work environments in the ancient Roman Empire contributed to the spatial spread of ancient cults. Using computational methods, the project examines how
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standard High School student: Regularly enrolled in a high school or participating in a home-schooling program Undergraduate and post-baccalaureate student: 6 credit hours per term Undergraduate
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characterisation facilities, offering exceptional opportunities to perform in-situ and high-resolution materials analysis. Leveraging these state-of-the-art research capabilities, the candidate will conduct high
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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opportunities to perform high-quality, impactful research. The project offers close collaboration with Baosteel’s Central Research Institute, and has the opportunity to travel to Shanghai, China. For further
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Degree PhD Course location Bremen Teaching language German English Languages Courses are held in English and German. PhD candidates can choose to write their thesis in English or German. Programme
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for assessing and improving the performance of existing structures. The position is to be filled by February 1, 2026, or as soon as possible thereafter. Job Description The successful candidate will be part of
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publishing of project results in international high-impact scientific journals Additional Responsibilities may be requested in: Supervision of BSc, MSc, and exchange/visiting students who perform research work
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science technologies, and this is a perfect training opportunity for those who is interested in machine learning, data mining, artificial intelligence, and bioinformatics. High-performance computing may
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and