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mathematics, data science and machine learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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extent to which large-scale, reactivated basement structures focused mineralization. The focus is on regional-scale three-dimensional (3D) anisotropic magnetotelluric (MT) imaging of the deep crust and
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multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
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in the acquired autoimmune disorder immune thrombocytopenia as well as in inborn errors of immunity. You will conduct research using human blood samples, processing them for imaging flow cytometry
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Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between remote brain areas in vivo in animal models that underlie plasticity in the prefrontal
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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development for imaging liquids and solid–liquid systems at the nanoscale. Collaborate with researchers at Chalmers and beyond, and share knowledge with the wider microscopy community. Publish and present your
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models using advanced operator learning and physics-informed AI techniques, leveraging high-resolution X-ray imaging data and high-performance computing (HPC) resources. The position offers a unique
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. Your mission Understanding disease requires weaving together many layers of biological and clinical information. By fusing multimodal data including genomics, imaging, spatial omics, and patient records