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expertise in thermo-fluid engineering, thermodynamic modelling, and optimization. The ideal candidate will demonstrate: Proven experience in thermodynamic modelling, thermo-economic analysis, and multi
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Competencies We seek highly motivated researchers with a PhD in computer science, engineering, robotics, or a related field, evidenced by a strong publication record. Candidates should possess experience in
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studies, surveys, register data, or experiments. The teaching of the department is very diverse across programs and areas and largely falls within the four research areas of the department, i.e. strategy
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to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a focus on charge
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cutting-edge experimental and computational technologies. Our aim is to dissect dynamics and cellular programmes active during human blood lineage development and to decipher how haematopoietic
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candidate is expected to have high motivation and independence and good English communication skills as well as being a team player. Familiarity with openFoam and some experience in experimental methods is
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the university hospital and the regional hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities and
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ideal candidate will have: Experience with Earth Observation techniques, particularly ocean color remote sensing and marine optics Experience in planning and conducting field and laboratory work Knowledge
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candidate has proven expertise in X-ray imaging, synchrotron experiments, and multimodal X-ray imaging, e.g. XRD or XRF computed tomography. Experience in scripting in Python or MATLAB is an advantage
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candidate has proven expertise in X-ray imaging, synchrotron experiments, and multimodal X-ray imaging, e.g. XRD or XRF computed tomography. Experience in scripting in Python or MATLAB is an advantage