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analytical and written communication skills, including the ability to effectively describe scientific material to both specialized and lay audiences. Ability to work effectively in an interdisciplinary
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
written and verbal communication skills in English. Ability to work independently and collaboratively in a team environment. Demonstrated ability to manage and prioritize multiple tasks and projects
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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physical and electronic datasets. Key responsibilities include preparing high-quality peer-reviewed scientific manuscripts, drafting grant proposals, developing IACUC, IBC, and IRB protocols, and
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. Competence in computer programming, with C++ an advantage. Evidence of ability to develop and execute own research ideas, and act upon own initiative. Organisational skills, including ability and willingness
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spectroscopy). Knowledge of thin-film and materials characterization techniques such as X-ray diffraction, X-ray photoelectron spectroscopy, atomic force microscopy, and scanning electron microscopy is required
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related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes. Excellent communication skills are essential, including the ability to write
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on the application under the CV/Resume section. Responsibilities: Research Successfully conduct and perform specified experiments and techniques. Maintain electronic data base with experimental protocols and
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. Conduct power profiling, energy-per-inference measurements, and latency benchmarking on physical edge hardware platforms. Build strong collaborations within ORNL and with the neuromorphic computing and