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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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current and past research experience/project (if any). Academic transcripts. Language proficiency results Research Proposal The contact information of two referees. Do take note that the scholarship does
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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
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Fieldwork Grant is for fieldwork support to Faculty of Arts Doctor of Philosophy (PhD) graduate researchers, in which the primary data for the PhD thesis can be collected only in a field location (for example
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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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for success: A PhD awarded in a relevant discipline e.g. social sciences, history, science and technology studies, anthropology, or other discipline with a strong background in conducting qualitative research
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-approved systems. Ensure adherence to data security and compliance protocols. Preferred Qualifications MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. Strong
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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“DiamondNanoNMR” we are looking for ambitious PhD students (75%, TV-L E13, limited to 3 years). Our mission is to apply quantum information concepts to nanoscale sensing. This emerging technology stands
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biology, cell biology, biochemistry, and plant-microbe interaction research come together to advance sustainable agriculture and reduce reliance on pesticides and mineral fertilizers. Further information