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to take up the challenge of designing, developing and applying advanced X-ray imaging methods by combining experimental and computational approaches in physics. You will be working with laboratory X-ray
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Your application will be assessed by Dr. Apurv Dash, Prof. Poul Ægidius Norby and Prof. Wolff-Ragnar
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will benefit from your analytical insight. Advanced NMR methods and computational data analysis will be compounded to accelerate the understanding of reaction pathways and improved use of desired rather
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, experimental and computational methods to study the physiology of microbes. You will work in a team contributing to projects of other team members, while independently developing your own project. You will also
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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ability to work independently Ability to convert experimental data into useful functioning models Preferred qualifications but not mandatory: Interest in advanced computational methods to improve and
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to a PhD program at DTU. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in a relevant field such as control
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment