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Job Description Do you want to figure out why Bayesian deep learning doesn’t work? And afterwards fix it? At DTU Compute we are working towards building highly scalable Bayesian approximations
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radiocarbon dating and Bayesian modelling. The postdoctoral researcher will contribute to an ongoing research project, “Milestone”, headed by Associate Professor Sarah Croix. The appointment begins on 1 April
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uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models
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. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models for long-term forecasting. Collaborate closely with
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activities on developing new antibiotics based on pleuromutilins. The goal of this project is to identify a hit compound specifically targeting multi-resistant Gram-negative pathogens by introducing new
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project is part of our current activities on developing new antibiotics based on pleuromutilins. The goal of this project is to identify a hit compound specifically targeting multi-resistant Gram-negative
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performing targeted gene editing (knockout and knock-in) to improve EV functionality, developing strategies to enhance cellular uptake, endosomal escape, and nuclear targeting, and conducting transfection and
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pathway validation. The overarching aim is to identify previously unknown molecular drivers of PIPN and explore their potential as therapeutic targets. Your primary responsibilities: Lead experimental work
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has a strong background in control engineering, with documented expertise in optimal control, adaptive control and online optimization, stochastic systems, Bayesian inference, and state estimation and
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of patient skin biopsies, and mechanistic pathway validation. The overarching aim is to identify previously unknown molecular drivers of PIPN and explore their potential as therapeutic targets. Your primary