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processes that previously have been difficult to study, but where recent advances - such as within sequencing, AI, imaging, mass spectrometry, tomography and exposomics provide new opportunities. Main
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molecules, genes, individuals, species and their life conditions, evolution and interactions in the environment. The focus should be on patterns and processes that previously have been difficult to study, but
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of English. It is an advantage if you have: Experience of working with large text or image materials, for example organising digital archives, curating public databases, structuring and quality-assuring large
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and has training in statistics, data processing, bioinformatics, or a related discipline, to contribute to research on disorders of the brain. You will work with some degree of independence as a
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mathematics Appl Deadline: (posted 2025/12/11, listed until 2026/01/16) Position Description: Apply Position Description Postdoc in Algebra-Geometric Foundations of Deep Learning or Computer Vision KTH Royal
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process, advanced analytical techniques will be applied, including mass spectrometry imaging, chromatography tandem mass spectrometry, and scanning electron microscopy (SEM), in combination with
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its dependency on the pre-fire forest structure and management practices in Fennoscandian boreal forests. Work includes e.g. developing methods to assess burn severity and fuel structure, processing
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of the sample, transfer of coordinates between end-stations, automatic beamline and measurement setup and providing tools for initial image processing and rapid visualization. Your main work tasks will be Develop
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the Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org ) in Stockholm as a Research engineer. The position focuses on the investigation of different cellular process with super-resolution
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related to clinical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is an interdisciplinary group of scientists and medical professionals, mainly focused on innovative clinical imaging