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researchers to analyze gene expression patterns within intact tissue architectures. By preserving the spatial information of RNA molecules in biological samples, this technology provides insights into gene
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Natural Language Processing, Machine Learning, or a similar area. Expertise in large language model architectures and training paradigms (transformer models, fine-tuning strategies, RLHF, etc.). Interest in
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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and glycan-based vaccines. Undergraduate and PhD research projects can be integrated into the projects, and you are expected to interact with and co-supervise those projects. Additionally, some teaching
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PhD in biology or related field. Strong background in movement/community/macroecological research. Proven publication record in respected international peer-reviewed journals. Strong analytical skills
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must hold a PhD degree (or equivalent). The ideal candidate holds a PhD in entrepreneurship, innovation studies, economics, management, or a related social science discipline, and has experience with
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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analysis Close collaboration with an interdisciplinary team. Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and supervise MSc and PhD student
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-band. We are looking for two postdoctoral researchers, who have excelled in the PhD projects and/or previous postdocs positions to join our team working towards demonstrating chip-scale quantum light
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conferences and journals As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education