78 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Aarhus University
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be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
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models of complex physical systems starting from data, ranging from robotic systems to traffic and turbulent flows. We are implementing these methods in high-performance open-source libraries to make them
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also expect that you will take part in our teaching activities and that you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate
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– to the development of the department by leading research of high international quality and contributing to ensuring a high academic and didactic standard in teaching. Qua your excellent collaborative skills and a
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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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of computational methods. Your job responsibilities As a Postdoc your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through
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research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
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approach. The School of Culture and Society places emphasis on research of a high international standard, including interdisciplinary collaboration, participation in collective research projects and the
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invites applicants who can, in a critical and innovative manner, prepare media and journalism students for a rapidly evolving job market and produce high-quality research that aids society in understanding
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research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in remote sensing, data science, agriculture, ecosystem modeling or similar