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Field
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of inorganic and coordination compounds, including discrete complexes and related systems, using methods such as X-ray diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and
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machine learning to rich molecular data and uncover the molecular basis of IBD. The successful candidate will build prediction models from high-dimensional molecular measurements, with a particular focus on
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to advance our understanding of black holes, their environments, and their extragalactic jets.The successful candidate will work with Prof. Chael’s group to advance theoretical models and simulations of black
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more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world
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on the candidate’s profile and interests, the position may also involve primary data collection, including extraction of medical chart data using natural language models and surveys of stakeholders within child and
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crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling
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involving environmental and biological samples, especially soil and plant-associated microbiomes. The candidate must have experience in analyzing complex VOC datasets, including processing raw PTR-MS (e.g
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language processing and the use of (multilingual) large language models / transformer-based models. Experience with large-scale data collection (e.g., parliamentary speeches, manifestos, press releases, social-media
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metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial communities related
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and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What we offer The successful applicant is offered: Access