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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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Mechanical systems and processes. The School works across all scales, from nanoscale to personal devices to industrial complexes – building pilot plants to put our research into action. The School builds
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experimental approaches to investigate the neural computations underlying complex cognitive functions in both health and disease. The position will be assisting with studies using mathematical modeling, machine
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About the Opportunity SUMMARY The Network Science Institute (NetSI) is hiring one Postdoctoral Research Associate to join the newly formed Complexity & Society Lab (the “&-Lab”). The &-Lab is an
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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Identification of soil invertebrates (e.g. mites, springtails, insects) using modern and classical techniques Laboratory analyses of soil properties Statistical analysis of complex ecological datasets Presentation
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an effective network across a complex organisation Ability to manage priorities under pressure Accuracy and attention to detail with ability to maintain confidentiality Ability to work under pressure in a busy
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 2 months ago
institution in North Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal — helping first-generation and lower-income students find paths
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external networks of researchers and leading thinkers in the field to foster research collaborations, to identify and deliver common research objectives and to generate income. You will also lead the
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hydrometeorological and climatological) hazards, involving the quantification of effects on individual assets/infrastructure components (e.g., buildings) as well as network-level and distributed-system disruptions; 2