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Field
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, fluorescence microscopy, flow cytometry, and Western blotting (experience with a JESS is desirable) Computer proficiency in Microsoft Word, Excel, PowerPoint, GraphPad, Photoshop, SnapGene, etc Preferred
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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, ion irradiation, corrosion studies, advanced microscopy, and artificial-intelligence-enabled microstructural analysis to support the development and qualification of next-generation structural materials
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established in-house computational pipelines. Interested candidates should hold a PhD, or be close to completing one, in molecular biology, gene regulation, biochemistry, genetics, genome biology or a related
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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to the patent portfolio. Qualifications Required PhD (awarded or imminent) in Physics, Electrical Engineering, Materials Science, or a related field. Demonstrated competence in both a computational technique
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Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
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outcomes in peer-reviewed journals in a timely manner. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation
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the mentorship of the Principal Investigator (PI). The research program focuses on the role of the microbiota and bacterial extracellular vesicles (bEVs) in shaping anti-tumor immunity and the response to cancer
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline