17 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" Postdoctoral positions at Aarhus University in Denmark
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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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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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Department of Mechanical and Production Engineering - Mechatronics and Dynamics - Faculty: Technical Sciences Postdoc in Robotic Handling and Maintenance of Fusion Reactors Deadline 26 Feb 23:59 CET
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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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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State University/NREL and Karlsruhe Institute of Technology/IMK-IFU. Digital technologies, including biogeochemical modelling and remote sensing, as well as interactions with stakeholders are key
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the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a
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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