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combine state-of-the-art machine learning and protein design methods with experimental structural biology and immunological characterization. Potential project directions include: • Design of vaccine
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analytical and mathematical problem-solving skills. Experience with programming and experimental evaluation of computing systems. Excellent communication skills in English. The standard MSCA eligibility
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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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for Evolutionary Hologenomics is funded by the Danish National Research Foundation to develop and implement state of the art ‘omics and associated computational techniques, to address through experimental and
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental
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Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data science, mathematics, and health Skills highly relevant for careers in academia
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Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers
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be motivated to conduct in-depth empirical research in close interaction with the port sector. Solid qualitative methodological skills are required, and prior experience with qualitative data
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relevant to your project. The programme also includes a mandatory requirement to gain experience in teaching and/or other forms of research dissemination and knowledge exchange. As part of the application
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programme, you will complete PhD courses within topics relevant to your project. The programme also includes a mandatory requirement to gain experience in teaching and/or other forms of research dissemination