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nuclear imaging examinations such as positron emission tomography (µPET) or single-photon emission computed tomography (µSPECT). The registration of these functional images with morphological acquisitions
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, PET MRI, Ultrasound (including 3D/4D, Thyroid, Head and Neck, High Risk OB, Vascular, Contrast Enhanced Ultrasound, Superb Microvascular Imaging, Elastography, and Saline Hysterosonography), Abdominal
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delivery, imaging, or diagnosis. Characterize, understand, the interaction of particulate materials with cells or tissues. Pioneered investigations on particle bio-functionalization, particles uptake
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imaging. The center provides access to excellent infrastructure and is well equipped with all necessary instrumentation. The laboratory has a strong background in gene regulation and 3D chromatin
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-reality platform for medicine: interactive 3D models are reconstructed from 2D images (e.g., DICOM) and rendered on AR devices such as HoloLens 2 via Unity. Clinicians can manipulate the models and perform
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t
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imaging inside human long bones (https://doi.org/10.1007/978-3-030-91979-5_10). For optimal imaging inside bone, one must consider the challenging 3D wave physics imposed by bone tissue: wave refraction
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neural activity influences 3D genomics, the chromatin landscape, and cellular plasticity in glioblastoma. The position is a full-time, two-year appointment. The postdoctoral position is funded by a
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fosters a positive, empowering research environment to support the development of the next generation of scientists. We seek candidates with expertise in areas such as tissue multi-omics and 3D tissue
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. The scolarship holder will join and support our team with some of the following tasks: a) Develop efficient HPC algorithms for estimating varying (in time and 3D space) ionospheric electrodynamics using