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team member in the CBSC focused on ligand discovery, joining a team of dedicated computational researchers with diverse expertise ranging from structural bioinformatics to machine learning and AI. Your
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genome-resolved multi-Omics methods, statistical/metabolic modeling, and machine learning. The postdoc will apply these approaches to generate a systems-level understanding of microbiomes including
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resilient future. The Postdoctoral Associate will have the opportunity to align with the most relevant academic department in the College of Architecture, Art, and Planning and teach one course per year
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foundations of data science, machine learning and/or artificial intelligence. Preference will be given to candidates studying either the application of data science/ML/AI to problems in computational
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inviting applications for a Postdoctoral Researcher position (Medical Physics and Engineering) in the Biophysics Research Group at the Department of Technical Physics on the Kuopio campus. The position will
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3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation, remote object ranging
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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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opportunities, benefits, community events, and other resources available via the office of Graduate and Postdoctoral Success at BU: https://www.bu.edu/postdocs/ Skills and qualifications A PhD in epidemiology
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description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data, including those built from synthetic sources
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with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design