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Field
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-trained tool on other image sensors and at different mountain sites presents difficulties. Specifically, generalizing a model trained on a specific site to other sites with different environmental
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. Individuals getting stuck in their grief often experience different types of intrusive imagery—both positive (e.g., memories of cherished moments with the deceased) and negative (e.g., images related
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temperature imaging by MRI, the only medical modality allowing non-invasive brain temperature mapping. The objectives of the postdoc are twofold with: Develop a dedicated MRI methodology in vitro and then in
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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We are seeking applicants for a 2-year postdoc in Ultrafast X-ray probes of Quantum Materials to join us at the Department of Physics and Astronomy. Starting Date and Period The position is for 2
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; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light sheet microscopy and data analysis, miniendoscopes application in a
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programming skills for image processing, image analysis and/or hardware control. You are eager to learn, can work independently and have a creative and solution-driven mindset You have an excellent track record
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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entrainment, physicochemical processes, and interactions between ice sheets and their beds. Recent advances in LA-ICP-MS now enable the spatially resolved analysis of major and trace elements at the scale
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laboratories, local farmers, veterinarians, and policymakers. Secondly, in the context of the ERRAZE project, the postdoc will evaluate a WUR prototype One Health policy screening tool on the usability