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microbiology and CMDs. You need to be ambitious, motivated, capable of working independently, and have good skills within written and spoken English. In addition, you should have experience with experimental
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powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
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cutting in the production facility. Establish a numerical model to simulate the glass cutting process. Design experimental measurements and assist in the integration of sensors in production. Acquire
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(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling
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background in experimental microbiology and has laboratory experience in e.g., minimum inhibitory concentration (MIC) assays, molecular techniques (qPCR and dPCR), and fluorescence microscopy. You are expected
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dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
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-state quantum sensing, utilizing nitrogen-vacancy (NV) centers in diamond for applications in quantum magnetometry. Our research combines fundamental exploration with innovation and industry collaboration
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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student in this project, you will: Collaborate with leading experts across Denmark and Europe in a high-impact, interdisciplinary setting Gain hands-on experience with protein characterization, advanced
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the