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.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in wired computer networks and sustainable computing, significant coding experience (both Python and C/C
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117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in
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) A PhD in a related discipline, and/or relevant work experience. Skills in programming or scripting, sufficient to develop or modify codes used for data analysis and for materials modelling
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/DPhil) together with established knowledge in wired computer networks and sustainable computing, significant coding experience (both Python and C/C++), and a record of working in a Linux environment and
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code, in PDF format (preferably as one document) to Swantje Hartmann-Rolke: s.hartmann-rolke@fu-berlin.de or postal to Freie Universität Berlin Fachbereich Physik Institut für Theoretische Physik Frau
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their career goals. DBMI has a dedicated team for Grants Development and Scientific Writing, and a Software Engineering Team that can provide invaluable feedback to improve the quality of your code and your
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
from extreme weather to pandemics to cyberattacks. - Applicants must have significant computer coding skills, e.g., Python, R - Excellent written, oral, and interpersonal communication skills. Preferred
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 10 days ago
and broader hydrogen technologies. Will contribute to establishing FESTIM as a trusted, community-driven tool by designing Multiphysics validation campaigns and cross-code comparison studies. REQUIRED
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Compliance Policy, Code of Conduct and Conflict of Interest Policy. Performs other related duties as assigned. Minimum Education and Experience: Doctoral degree in public health, health communication
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progression. The models are informed by a variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor