106 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Aalborg University
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series (GREAT). The group currently consists of 3 associate professors, 2 assistant professors, and 4 PhD students. You may obtain further information about the department here: Department of Mathematical
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information from Associate Professor Carsten Jahn Hansen, 9940 8286 jahn@plan.aau.dk. Youcanread more on TECH as a workplacehere Youcanread more on Department of Sustainability and Planning here Qualification
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Postdoc in Environmental Genomics and Microbial Biogeography Do you want to work towards pushing the limits on data and metadata integration for metagenomics globally? And do you see yourself as a
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should have a strong experience with experimental setups including design, planning, commissioning and testing, especially with hydraulic fluid power systems. You should be proficient in data handling and
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experiments, integrating experimental data collected during loaded magnetic resonance imaging scans of the human knee joint with the ex vivo findings. By working with in vivo models, you will contribute
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, regardless of personal background and orientation, is encouraged to apply for the position. Contact Further information may be obtained from Professor Xiangyun Du, Director of the AAU UNESCO PBL Centre
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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. Proficiency with CST Studio Suite, HFSS, and related full-wave EM simulation workflows. Competence in MATLAB or Python for numerical modelling, data analysis, and optimisation. Ability to conduct experimental
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at the University. Youmayobtainfurther professional information from Associate Professor Jakob Zinck Thellufsen, +45 9356 2359, jakobzt@plan.aau.dk. Youcanread more on TECH as a workplacehere Youcanread more on
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, computationally efficient gas radiation models suitable for CFD implementation Perform accurate CFD simulations of green fuel combustion in a CVCC and validate the CFD by detailed experimental data to be provided