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stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro
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scale. Characterization of ash interactions with products. Imaging and determination of chemical composition with SEM-EDX. Advanced image analysis for quantification of porosity. Multicomponent chemical
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a focus on visual language grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The
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scale. Characterization of ash interactions with products. Imaging and determination of chemical composition with SEM-EDX. Advanced image analysis for quantification of porosity. Multicomponent chemical
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medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population
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grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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to Reionization from observational and numerical perspectives. Main responsibilities The observational projects will involve analysis of both imaging and spectroscopic data obtained from JWST, HST, and other
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molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative
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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work