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to systematically understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, including machine learning, deep learning
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. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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Department: Engineering Technology Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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spectrometry approaches to elucidate molecular mechanisms of metabolic rewiring underlying cancer and aging. 2. Developing activity-based proteome profiling (ABPP) strategies to guide the development of chemical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
) Develop a research plan together with the mentor to be submitted with the application. Apply via the Human Resources web listing of the Post-Doc Position https://unc.peopleadmin.com/postings/292436
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staff position within a Research Infrastructure? No Offer Description Summary of Activities: 1. Development of a conceptual description of offshore production chains through knowledge representation
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim of this position is to develop
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at the Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences (NCAC PAS), in Warsaw, Poland, to study evolution of massive stars in context of the formation of gravitational waves sources
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors