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the European Research Council project REVIVE, combining experimental, analytical, and computational approachesofbatteries.Thismultidisciplinaryandhigh-visibilityenvironmentprovidesexcellent opportunities
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characterization with scanning electron microscopy is a plus Experience with computational tools such as MATLAB, Python or relevant tools Ability to work independently and collaboratively in a multidisciplinary team
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Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
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supervision and should be able to independently plan and conduct teaching within the subjects of non-linear and multivariable control methods as well as other subjects related to mechatronics. Qualification
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. Your competencies We thus imagine that you: have a strong background in digital signal processing and machine learning; have substantial experience with scientific computing in Python/C++/ROS; know
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approximately 1,200 students across the twocities. Our research and study programmes arerooted in sustainability and the green transition. This meansweconduct research in areassuch as the circulareconomy
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located in twobeautifulharbour-front locations in both Aalborg and Copenhagen. We have more than 250 employees and approximately 1,200 students across the twocities. Our research and study programmes
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colleagues from Media Technology, Lighting Design and Sound and Music Computing. Qualification requirements Appointment as a research assistant requires academic qualifications at master's degree level. How
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skills with the ability to connect theoretical modeling to practical, experimental data. experience with relevant computational tools (e.g., MATLAB, Python, or similar scientific programming environments
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compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial metagenomics and Oxford Nanopore Technologies sequencing, wet lab