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will have experience with zebrafish models, light stimulus design, hyperspectral imaging, and behavioural monitoring. You will be adept in coding and analysis using tools such as MATLAB and Python
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Agreement number 101125383). The successful candidate will join a multi-disciplinary research team, with primary responsibilities related to imaging and examination of medieval polychromed objects in museums
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-resolution X-ray imaging for biological soft tissue. We develop advanced X-ray methods to uncover new insights into neural structures. This position offers a unique opportunity to work at the forefront
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analysis Experience of coding in Python, or other similar language Experience of documenting analysis workflow (i.e. syntax files; data dictionaries; GitHub) Experience of one or more of data visualization
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(this overlaps with the former themes as 2D and 3D vision is often integrated with language). Related papers by the Vision-CAIR members Theme A : Aligning Latent and Image Spaces to Connect
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
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, hybrid, and highly collaborative lab. This computational genomics postdoctoral fellow candidate is expected to leverage the single-cell/bulk-cell multi-omics data, spatial omics data, and image data
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Fellowship within the scope of the HEDGE heritage digitization project (cc-12040302), funding entity Património Cultural, IP. Scientific Area: Information management and metadata of 2D and 3D images
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capabilities. Different imaging simulators are also available within the department including CT, PET/CT and MRI. Research is highly active here. The primary goal of this position is to implement novel MRI and
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diffraction (EBSD), energy dispersive microscopy (EDS), image quantification, correlative microscopy, and electron probe microanalysis (EPMA). Prior experience is desirable but not required given a strong