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to the three main challenges within this sector: 1) climate and environment 2) traffic congestion, and 3) traffic safety. We put numbers on traffic effects and the economic and societal effects using statistical
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effectively in an international team. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.
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renewable energy, e-mobility, or engineering Good programming skills (e.g., Python, MATLAB or R) Familiarity with control concepts Ability to work effectively with data and applied statistics Ability
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piglets to improve survival. The project involves industry partners with whom we generate and study clinical effects of colostrum-replacer for compromised piglets who are unable to acquire own mothers
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fields. Experience with 3D printing and/or soft robotics is an advantage Familiarity with sensor integration and control systems Analytical thinking, problem-solving skills, and effective communication
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to learn A background in renewable energy, e-mobility, or engineering Good programming skills (e.g., Python, MATLAB or R) Familiarity with control concepts Ability to work effectively with data and applied
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automatically result in an interview. Once the recruitment process is completed each applicant will be notified of the outcome of their application. The application must be sent via the online link below
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their personal assessment later. Selected applicants will be invited for an interview. Please note that a positive assessment does not automatically result in an interview. Once the recruitment process is
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) the development of a holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3