32 postdoc-distributed-algorithms Postdoctoral positions at University of Oxford in United Kingdom
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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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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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developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the
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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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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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endoscopists through a quantitative and qualitative assessment of the mucosal microstructure. You will be responsible for the algorithm development and implementation of the overall system. It is expected
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vitro and cell-based approaches. In this endeavour the position is for a Postdoc with expertise in cell signalling pathways, protein biochemistry and in vitro cell biology. You will be responsible
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the laboratories of Prof Carlo Rinaldi. You will be well supported by the existing joint team, currently consisting of postdocs, bioinformaticians, PhD candidates, and research assistants. The post holder will be
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behavioural tests of memory and inference; and provide guidance to less experienced members of the research group including postdocs, research assistants, technicians, and PhD and project students. The post is
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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