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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot
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. Armed with this information, the post holder will use cutting-edge paleoclimatic modelling that incorporates nutrient cycling and carbon chemistry (HadOCC) to infer the distribution of potential feeding
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
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instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a
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mentoring junior researchers and collaborate with faculty, DPhil students, and postdocs across engineering, computer science, government, and law disciplines. The role is full time 2 years fixed term
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2025. Interviews will be held as soon as possible thereafter. At the Dunn School we are committed to supporting the professional and career development of our postdocs and research staff. To help them
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the Faculties of Linguistics, Philology, and Phonetics and Modern Languages. Division of time between the two Faculties to be flexibly distributed according to contingencies, as determined by the IT Manager
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extracellular vesicles with **GENE**-mRNA; • In vivo delivery of first vector and evaluation of expression/distribution; • In vivo delivery of first vector in acute MI and evaluation
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group, including postdocs, research assistants, technicians, and PhD and Masters project students if required. The post holder will develop quantum diamond microscopy (QDM) as a new paleomagnetic tool
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team. You will lead in the design and implementation of statistical and computational algorithms of different datasets, and implement novel algorithms within the framework of existing code, providing