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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
and outside UNC-CH. Minimum Education and Experience Requirements Doctoral degree (PhD or equivalent) in biomedical engineering, computer science, biomedical data science, physics, computational
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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI
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balance, and outgassing testing, essential for qualifying hardware for launch and orbital operation. The Space Lab also offers access to a wide suite of engineering and simulation software for electronics
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for Studying Congenital Kidney Diseases". The role will focus on human pluripotent stem cell culture, kidney organoid differentiation, genome engineering, disease modelling, molecular and imaging analyses, as
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to the academic position of Assistant with a PhD, or meets the requirements for election to this position at University of Primorska. Research FieldOther Additional Information Selection process Interested
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configurations. Design, prototype and validate EM sensors and arrays for defects and materials. Develop sensor-interface electronics and multi-channel data acquisition, improving the real time hardware and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Czech Centre for Phenogenomics (CCP, https
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. Experience with at least one of the following: Live-cell imaging or advanced microscopy; Mouse models or genetically engineered systems; Primary cell culture or organoid systems; Molecular perturbation (CRISPR
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hereditary cancers The lab has extensive expertise in: • Human primary epithelial cell systems • Mouse and genetically engineered models • High-content and live-cell imaging • Tumor evolution and therapeutic
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technologies for functional precision oncology, imaging, drug screening and molecular characterization. Interaction with clinicians, cancer biologists, bioinformaticians and technology platforms within a