62 distributed-algorithm-"Prof" Postdoctoral positions at University of Oxford in United Kingdom
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knowledge of methodologies such as deep and statistical learning. Informal enquiries may be addressed to Prof. Andrea Vedaldi (email:andrea.vedaldi@eng.ox.ac.uk) For more information about working at
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the first instance Hours: Full Time (37.5 hours per week) About the role We are seeking to appoint a talented Postdoctoral Research Associate to join the group of Prof Ben Berks to study the bacterial Type 9
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and application For more information about these positions please contact Prof. Nynke Dekker, e-mail: nynke.dekker@physics.ox.ac.uk Only applications received before midday 16 June 2025 can be
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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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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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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
of tropical forests in the Amazon and on how these relate to the distribution of vector-borne diseases in the Amazon forest. The post holder will carry out their research, advised by the PI and Dr. Milton
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the proteome of the organelles localized in the presynaptic areas of motor neurons from ALS patients and integrate the altered protein distributions with local transcriptomic changes. The overarching goal of our