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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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functional genomics methods (e.g., ATAC-seq, ChIP-seq, CUT&RUN) and omics data analyses is considered highly advantageous. Selected references: Jakobsen et al., 2024. MYC activity at enhancers drives
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investigating the structural evolution of MOFs upon heating using techniques such as variable-temperature PXRD, DSC/TGA, and spectroscopic methods. Exploring the thermodynamic and kinetic mechanisms underlying
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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and experienced researchers to work on Greenland Ice Sheet changes. The role focuses on developing advanced methods to enhance the understanding of the Greenland Ice Sheet, peripheral glaciers, and
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advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to disseminate
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in ion transport and (2) using machine learning methods to design protein binders. The incoming postdoc will have the opportunity to mould the project to a significant degree. The candidate should have
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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analytical methods across the EU. Responsibilities and qualifications You will be a central part of our laboratory operations, and your task will be focussed on supporting our EURL-PC responsibilities as
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard