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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Strong research track record in software engineering, AI for code, or software security (e.g., publications in
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, including: Code reviews Penetration tests and security assessments Risk and threat analyses Collaboration in publicly funded research projects and industry collaborations Preparation of project reports and
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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engine modeling code. Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM). Perform scalability
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grant writing or contributing to funded projects. Strong coding experience using R and Python for data analysis. Expertise in the biological interpretation of multi-omics datasets (RNA-seq, proteomics
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studies coding transcripts which may include developing high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including
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in data collection, data coding and data interpretation, as well as present the core findings to stakeholders. Hourly Salary: $18.60 Hours per Week: 5 (Part time) Location: Sherbrooke 550 Supervisor
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 12 hours ago
and Environmental Engineering at the University of New Hampshire. The successful candidate will be responsible for developing and coding workflow processes and designing experiments for multisensory data
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high energy physics, astrophysics, and/or cosmology, ideally with an already established facility with standard cosmological codes and comfort with the basics of axions and/or scalar field theory