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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on the development of single electron on solid neon qubits. The project aims
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cytometry, immunofluorescence, immunohistochemistry, and bioinformatics. Competencies Excellent verbal and written communication skills and demonstrate the ability to independently design, conduct, and
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
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characterization Computer skills (data analysis, statistical analysis, graphs preparation) Publication history in Q1/Q2 journals Ability to work within an interdisciplinary team and join collaborations English
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defined PAHs, nanographenes, and molecular semiconductors with tailored electronic and photophysical properties. The employment duration is 3 years. Your future tasks: The selected candidate will work
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of the electron gun and waveguide required to produce the high-intensity electron beams required for delivering photons in FLASH mode. • Develop and apply advanced numerical simulation and/or optimisation tools
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fixed-term duration of 24 months with the possibility of extension. The successful candidate will: • Conduct in-depth simulations and analysis to model and understand the performance of the electron gun
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 21 hours ago
. The first two recommendations received will be attached to your application for review by NETL. You may click the "send" (paper airplane) button to send the recommendation request email immediately after
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 21 hours ago
airplane) button to send the recommendation request email immediately after entering their information prior to submitting your application; if not, a request will automatically be sent when you submit your