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Field
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paradigms; cognitive, brain-inspired and neuromorphic computing, human-machine interface technologies; advanced heterogenous architectures based on integrated commodity components, special purpose
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on healthcare data. - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record
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AI systems Requirements: PhD in Mathematics, Computer Science or related fields, with no more than five years post-receipt of PhD. The appointment is for two years, with the possibility of renewal
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in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research on healthcare data. - Experience in Artificial Intelligence (AI), Machine
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, Engineering, Computer Science, Human–Computer Interaction, or a closely related field. Ph.D. or equivalent terminal degree must be awarded no more than four years prior to the effective date of appointment with
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learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies that amplify human potential. The successful candidate will engage
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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines, the crystallization laboratory, the computing center and contribute to science projects
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is found. The successful candidate will develop and apply computational approaches to biochemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of
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, or robotics. • Knowledge of artificial intelligence, machine learning, computer vision, • sensing, data analytics, simulation, human-technology interaction, or cyberinfrastructure. • Knowledge of construction
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crystal / thin film scattering measurements, exploiting developments in artificial intelligence and machine learning. We also invite candidates with interests in beamline automation and autonomy