18 engineering-computation-"https:"-"https:"-"https:"-"https:"-"LGEF" Postdoctoral positions at Aarhus University
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The Department of Biological and Chemical Engineering, Aarhus University, invites applications for a postdoctoral position offering an exciting opportunity to contribute to the work on reactor
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activities of the Department and faculty. Qualifications and Specific Competences The ideal candidate has: A PhD in Computer Science, Informatics, Computer Engineering, or a related discipline Strong
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modeling challenges focused on Quantum Circuits are encouraged to contact us with a CV and a short description of interests. The applicants must have a strong background in Theoretical Computer Science (e.g
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This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University. The postdoctoral
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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Neuro-1 OPM-MEG system, along with computer-controlled visual and auditory stimulus presentation. The postdoc will also work with data from state-of-the-art fetal ultrasound imaging systems. The Center’s
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into several research areas, including RNA Biology and Innovation . The position will be hosted in the Developmental Multi-Omics Lab (Peter Zeller). The lab combines single-cell multi-omics technology
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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The Department of Mechanical and Production Engineering (MPE) at Aarhus University invites applications for a postdoc position offering applicants an exciting opportunity to join the “Fluid
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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming