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. The successful applicant will continue to build their own academic and research profile while contributing to high-impact translational research aligned with the Centre’s programs in medication safety, digital
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mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging · Tumor evolution and therapeutic response modeling Research
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woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in the metropolitan
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childhood cancer The lab has extensive expertise in: · Human primary mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging
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: · Human primary mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging · Tumor evolution and therapeutic response modeling
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, which comprises a very generous sabbatical policy and an infrastructure of high-profile research centres that brings together colleagues for collaborative projects. The School is housed in the iconic
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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science meets real-world impact. This role offers an exceptional opportunity for a Postdoctoral Research Fellow or Research Fellow in Molecular Biology to contribute to an ambitious program focused
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 10 hours ago
have timely and continued access to safe, effective, and high-quality medical devices and safe radiation-emitting products. CDRH provides consumers, patients, their caregivers, and providers with
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experience in marine technology and AI will be advantageous Knowledge about high performance computing and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language