31 postdoc-distributed-algorithms Postdoctoral positions at University of Oxford in United Kingdom
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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2022, PMID: 36462505). The research will be conducted in a friendly and supportive atmosphere with access to outstanding facilities and within a vibrant postdoc community. The applicant should hold, or
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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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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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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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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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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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on single-agent settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems