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on developing, implementing, and applying tensor-network and related quantum-dynamics methods. Applicants may indicate a preference for one project or ask to be considered for both. The start date is flexible
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integrating transcriptome, chromatin access and transcription factor binding datasets at bulk and single cell resolution with the aim to connect these profiles with the underlying regulatory networks, and
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funded NIH R01 project dissecting the SOX4/SOX9 transcriptional regulatory network that governs biliary development in Alagille syndrome and advancing the therapeutic potential of targeting this network in
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there will be many opportunities for the postdoctoral researcher to expand their professional network and skill set. We are therefore seeking a researcher who is comfortable working with multiple collaborators
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for a postdoctoral fellow to join our team to work on a new SNSF-funded project on Managing a Just Transition to Net Zero. This project aims (1) to measure economic/job vulnerabilities to the clean energy
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the past few decades, remarkable progress has been made toward constructing functional quantum processors. However, to build fully capable quantum computers and networks, a wide range of complementary
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Centre of Excellence in Restorative Neural Dynamics (CoRE RND) and the Brain Network Dynamics Unit (BNDU), a division of NDCN. The Group has a strong track record in of executing translational studies
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NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks”. The research will involve collaboration with
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle
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important pathogens. About you The successful candidate will develop and apply genome analysis pipelines to identify potentiating mutations and/or gene gains on projects across the IOI and PubMLST network