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working with CRISPR editing tools is essential, and working with 3D cell line models is preferred. Experience with processing and analyzing genomic sequencing data is essential, and working with
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settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on obtaining external funding and project
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process of 3D-printed constructs. The selected models will undergo long-term culture and functional tests, such as cultivation in a perfusion system and mechanical testing, to evaluate the usability
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/10.1016/j.isci.2022.104225 ), their 3D organization in the bone marrow, and the cell-to-cell interactions that define cell differentiation. Furthermore, we are investigating – through the same technologies
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models for reliable predictions, along with uncertainty estimates. Advancing multimodal foundation models (images, text, clinical data), temporal 3D generative models for longitudinal MRI, and MLLMs
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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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tomography (SPECT) is an imaging technique that tracks the 3D distribution of a radioactive tracer administered to a patient to monitor certain biological functions. The long acquisition times (10-40 minutes
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3D stem cell culture, human peripheral blood mononuclear cell (PBMC) isolation, endometrium/trophoblast model · co-culture, likely in the presence of immune or vascular cells · Prepare cell culture
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experience beyond what is stated in the Required Qualifications section. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science
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Qualifications section. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG), Experimentation, Genome-Wide Association