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computation. Familiarity with both topics is a definite benefit, but not a strict requirement. The position requires a solid mathematical skill set and the ability to formally analyse and prove properties
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master’s degree in chemical engineering, process engineering, mechanical engineering, energy engineering, sustainable energy engineering or a closely related field. You bring a solid foundation in areas
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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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or a closely related field. You bring a solid foundation in areas such as process modelling, thermodynamics, heat and mass transfer, process dynamics and control, optimization or energy-system analysis
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will be able to contribute empirical research on Denmark at the firm level, and/or at the aggregate level. Your research can use diverse methodologies depending on your strengths and interests. You will
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of the following: A solid foundation in programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML
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excited about the intersection of machine learning, AI security, and real-world deployment. The ideal candidate has experience or interest in one or several of the following: A solid foundation in
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. Control and dynamic systems: A solid understanding of control theory, dynamic modelling and autonomous systems. Experience with trajectory tracking, path following, model-based control, state estimation
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categorical framework. Candidate Profile We are looking for a highly motivated candidate within the fields of mathematics or mathematical physics. The successful candidate will have a solid background in
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closely related field, and a solid background in robotics, autonomous systems, and/or control theory. The candidate should have good programming skills in Python and/or C++, and prior experience with