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Field
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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open-source software tools like Git and Jenkins, and operation of SDRs like USRPs and virtualized environments like Docker and virtual machines Know-how on orbit propagation tools such as STK , or ns-3
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Drive, Headington, Oxford OX3 7FY Grade 7: £39,424 - £47,779 with a discretionary range up to £53,483 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year. We
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computational biology Prior experience in mathematical modeling of biological networks Fluency in English is required We offer A modern, dynamic university with a personal and inclusive atmosphere. Multilingual
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advantage Proven publication record in peer-reviewed journals and conferences Ability to work independently and manage research tasks We offer A modern, dynamic university with a personal and inclusive
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 43 minutes ago
USNH Employees should apply within Workday through the Jobs Hub app The research position(s) are within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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of employment based on the CAO NU. In addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements
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microbial hosts. Our interdisciplinary and international group offers a supportive, collaborative and dynamic working environment. About us The Department of Life Sciences conducts research, innovation, and
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
well-developed research infrastructure, laboratories, equipment, and highperforming computing clusters. What we offer An exciting and intellectual position in a dynamic and collaborative research
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Circuits Project description: Neuronal synapses are remarkably heterogeneous and dynamic structures that vary widely in molecular composition, nanostructure, and signaling strength. This rich variety