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this exciting role, you will focus on the annotation and analysis of genomes from protists and other microbial eukaryotes. This work integrates multi-omics data and involves benchmarking and developing methods
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 18 hours ago
. The position will assist with Ethics applications, help with coding, organisation of data and preparation for publications; support organisation and running of symposium and the development of journal special
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will be given priority. Application To apply for this position please follow the link "Apply for this job". Your application letter, relevant education and work experience as well as language skills must
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
, click the Career link in the left-hand navigation menu, and then update the sections in your Professional Profile. This information will be pulled into your application. The application is one page, and
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of clinical trials, focussing on supporting clinical trials through all stages including implementation and supporting sites in recruitment, regulatory approvals, data collection and integrity, data
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 21 hours ago
data, working to a preregistered Statistical Analysis Plan. The research applies target trial emulation, to generate robust and policy-relevant evidence. Working closely with the research team
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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@TorontoMet (external link) and @ECItorontomet (external link) on Twitter, and visit our LinkedIn company page (external link) . The opportunity The Robotics, Mechatronics and Automation Laboratory (RMAL
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for the position. Contact information of three referees, who can provide a reference based on request and your relation to them. Mission Statement The mission of the University of Michigan is to serve the people
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learning algorithms to support research in IDMxS. Key Responsibilites: Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS. Help supervise