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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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of advanced Neutron and X-ray Science. AMBER is funded by the EU Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months
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high level of motivation and commitment, good aptitude/skills towards laboratory work and the willingness to learn. The applicant must also be organized, rigorous and be able to work both independently
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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to solving applied problems through research, collaboration and education on sustainable plant production. We teach and research plants for food, feed and energy. The research and teaching focus
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proposal that will be further developed and contextualized in collaboration with the research leader in the research environment. Your research topic needs to be relevant for student learning in higher
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X-ray Science. AMBER is funded by the EU Marie Skodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call, with each fellowship lasting 36 months. AMBER has six core
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X-ray Science. AMBER is funded by the EU Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months. AMBER has
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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commitment to lifelong learning. The department emphasizes strong collaboration between academia, industry, and society, with a clear focus on utilisation. M2 is characterised by an international environment