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applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a closely related discipline. Strong background in modeling and simulation of thermal/energy systems
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simulations is a plus Ability to communicate with researchers from different disciplines Self-driven with the ability to work both independently and collaboratively Fluency in English is essential [French would
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concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory prototyping and on-sky testing perform detailed
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
knowledge of the molecular dynamics simulations, polymer physical chemistry, and data analysis, Linux operating systems, programming skills and scripting, all of which could be obtained during
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
(ex. ONT, Pacbio), including variant calling (SNV, copy-number profiling, structural variation), quality control, and interpretation of germline and somatic variants. Preferred Qualifications
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Required Working knowledge of at least one programming language, such as C++, Python, etc.; Working knowledge of Dynamic Traffic Assignment (DTA) and large-scale network simulation Have a good understanding
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description of the research experience; A copy of the doctoral (PhD) degree diploma or A copy of the document confirming the award of a doctoral degree*; Scans of documents confirming work placements
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of Health-funded projects are focused on the design, development, and execution of computer simulations of system related to the maturation of the HIV-1 virus. Preference will be given to applications with
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will have a strong background in wireless communication, signal processing, and machine learning. They should also possess the skills necessary to develop complex models, algorithms, and simulations
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while