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methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and paths to sustainable and desirable futures. We strive
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the European Research Council project REVIVE, combining experimental, analytical, and computational approachesofbatteries.Thismultidisciplinaryandhigh-visibilityenvironmentprovidesexcellent opportunities
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of electromagnetic theory, microwave principles, and computational electromagnetics (FDTD, FEM, MoM). Research experience with mechanically beam-steering, multiband/shared-aperture antennas, or antenna array synthesis
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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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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. 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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total at Aalborg University. Profile: The ideal candidate has A PhDdegree in Geodesy, Hydrology, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a
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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
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial