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to look for empirical relationships and decipher noise or signal > Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new
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“hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal > Familiarity with classical statistical methods and knows when and how to apply them in a rigorous
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Qualities:You are a computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's
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professions education and associated research methods. Appointments will be at the assistant, associate or full professor level (depending on qualifications) in the In-Residence series. PLEASE APPLY ONLINE
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Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis methods
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nanostructure R25-09 Development of advanced computational materials science methods and their application to next-generation devices and advanced materials R25-10 Development of Advanced Electron Microscopy
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. Experience: Conducting field, computer, web-based, and interpersonal interaction-based experiments. Preferred Competencies Familiarity with methods of experimentation. Implement creative and innovative
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española y su periodo temporal aproximado(c1936-1960) (acreditada mediante certificado de participación y/o resultados publicados) / Experience in research on the Spanish Autarchy and its approximate time
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10 Mar 2025 Job Information Organisation/Company Aston University Department Aston Institute of Photonic Technologies (AIPT) Research Field Computer science » Computer architecture Engineering
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leverages multimodal MRI-based approaches, blood-based immune markers, passive sensing data via smartphone apps, computerized cognitive tasks, and behavioral methods to address these questions and provides a