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tools including strong expertise in the analysis of large data sets using Microsoft Excel required. • Familiarity with R or Python as data analysis/manipulation tools is preferred. • Experience using
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Data driven epidemiology and biology of infection cover research that will transform our understanding
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, to join our team! We are located at the Department of Biomedical Informatics (https://www.chiragjpgroup.org/members.html ), Harvard Medical School, with affiliations with the Harvard Data Science Institute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. Preferred Qualifications, Competencies, and Experience Programming skills (e.g., python, bash scripting, Fortran, C++ and CUDA), expertise in computational modeling (such as Deep Learning, Molecular Dynamics
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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, but not essential. This project will involve a mix of analytic and numerical work; therefore strong technical skills in both pen-and-paper calculations and coding using either Python or Mathematica
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protocols such as HTTP, SSL, SSH, JMS, JDBC, REST API, etc. Open source technologies such as Dockers, KVM, and Python Version control systems such as GitHub Typical Activities: Build and release management
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. The post will be primarily based at Guy’s Campus. The successful candidate will work closely with Professor James Arnold (https://www.linkedin.com/in/james-arnold-1a0497263/ ) to support and further develop
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration
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TASKS The Marchal lab (IDLab/IMEC Ghent University, https://idlab.ugent.be/people/802000961346 ) has an open PhD position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project iSTRIDE