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research environment. Training will be provided where needed. Our research is supported by state-of-the-art core facilities for cryo-EM, proteomics, genomics, and flow cytometry, as well as high-performance
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Research Associate/Post-Doctoral Fellow to join our collaborative research team and work with us on marine restoration and ecology projects, including Operation Posidonia. This position includes work managed
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at the intersection of ethology, computational behavior and systems neuroscience. Duties of the position Carry out high-quality, independent research within the project framework. Publish findings in high-impact
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National Laboratory, University of Virginia, University of Connecticut. They will be required to perform computational and theoretical analysis using a range of techniques, as well as collaborating with
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or Social Sciences. The successful candidate will be expected to propose, plan and manage a high-quality programme of original research, publicise the outcomes of that research through presentation of papers
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branch of the Arts or Humanities. The successful candidate will be expected to propose, plan and manage a high-quality programme of original research, publicise the outcomes of that research through
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. The Successful Candidate Will Exhibit research creativity, breadth and depth of knowledge, and the ability to produce high-quality work. Excellent written and oral communication skills. Ability to work in a team
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infrastructure.Undertake fieldwork in tropical North Queensland. Perform and image behavioural presentations. Extract and analyse 3-dimensional object tracking data. Lead the preparation of high impact scientific
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The National Energy Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher — Scientific Machine Learning (NESAP) to join the Workflow
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reputed refereed journals and presenting at conferences. Technical expertise in programming (e.g. python) and experience with high-performance computing are highly desirable. Experience in machine learning