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Field
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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
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demonstrate the interweaving of humans and other species, animate and inanimate objects and technologies. Through these examples, the project experiments with methods (Research through Design, diffractive
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evident by a strong publication track record or other outputs in (plant) molecular biology, protein biochemistry, nucleic acid research, physiology, and/or biochemistry and be fluent in English (written
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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solutions. Job Description: The successful candidate will carry out duties to the highest standard and will: Undertake original research of international excellence. Develop research objectives and proposals
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Posting Details Position Details Title Postdoctoral Research Scholar - Forest Carbon Appointment Status Non-Tenure Track Department IU Bloomington Public & Environmental Affairs Location Bloomington
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to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
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appreciated. - Advanced statistical modeling (GLMMs, state-space models, stochastic Bayesian programming) in R - Experience with bioinformatics, if possible experience in the use of RAD-seq and/or lcWGS data
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Bayesian framework and two specific proposed lines of research: (1) constructing suitable priors via neural networks approximations, and (2) enhancing the sensitivity and efficiency of posterior diagnostics
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the analysis of massive datasets. Extensive experience in signal processing and advanced statistical inference (e.g., Bayesian statistics, Fourier analysis) for extracting robust patterns from noisy, high