81 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Nature Careers in Denmark
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Master of Science in Engineering 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
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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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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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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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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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functional properties. The post doc position is part of the Food technology group at Department of Food Science, Aarhus University and may also include teaching and dissemination activities, as
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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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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related
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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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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