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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI
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Certificates/Credentials/Licenses N/A Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned vehicles No Does
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mechanistic chemical biology research, the postdoctoral fellow will learn and gain experience in small molecule drug discovery from target validation, chemical probe discovery to preclinical mechanistic studies
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a current curriculum vitae, research statement, and a cover letter. Contact information for three references is required. To learn more about AI at Princeton, please visit https://ai.princeton.edu
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profiling, and other cutting-edge, high-dimensional tissue analysis approaches to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning
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programming, algorithm development and deep learning model implementation, and practical experience in drone and boat-based surveys are preferred. Background Investigation Statement: Prior to hiring, the final
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[map ] Subject Areas: High Energy Physics / BSM , BSM new physics , Dark Matter , Electroweak Symmetry Breaking , Experiment , Experimental , Flavor Physics , Higgs physics , LHC , Machine Learning
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position within a Research Infrastructure? No Offer Description Aalto University is inviting applications for a Postdoctoral researcher in molecular machine learning. The successful applicant will join the
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Employer https://main.hercjobs.org/jobs/21909436/postdoctoral-research-associate Return to Search Results