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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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Zheng. Your competences You have academic qualifications at PhD level, for example within computational biology, bioinformatics, spatial omics, or related areas. Experience with computational imaging
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with an interest in ecological applications. Required qualifications: PhD (or equivalent) in computer science, biology, software engineering, or a related field Strong proficiency in Python, including
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a post doc, you will be working at Aarhus University Hospital or another hospital in
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synthesis as well as structural characterization using both X-ray scattering (powder X-ray diffraction and pair distribution function) and electron microscopy (transmission and scanning). Furthermore
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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and ecology, and biodiversity. The Department currently employs approximately 275 academic and technical staff, as well as PhD students, distributed at two geographical locations in Aarhus and Roskilde