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and scripting • Experience with medical image (MRI, DWI, CT) processing using open-source programs such as Seg3d, Slicer, ANTS, or similar • Experience DSI Studio, MRTrix, or similar • Experience with
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will have connections to both the Molecular Imaging Program at Stanford (MIPS) and the Radiological Sciences Laboratory (RSL). The ideal candidate for this position will have interest in being trained in
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20251282F Position Title
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Your team SoftiMAX is a soft X-ray beamline focussed on spectro-microscopy and coherent imaging techniques, with 2 branch lines. The first branch delivers a nanoprobe beam for Scanning Transmission
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 6 days ago
https://inp-greifswald.dvinci-easy.com/en/jobs/20468/0593-postdoctoral-candidat… Requirements Research FieldBiological sciences » OtherEducation LevelPhD or equivalent Research FieldChemistry
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, proficiency in standard molecular biology and biochemical techniques, experience with 3D image processing and modeling software for structural analysis (such as IMOD and UCSF Chimera). A strong background in
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the ANR Fluid2Slip project, the postdoctoral researcher will have the