203 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Field
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backed by demonstrated recent and relevant research and development in the field is a fundamental requirement of this position. Experience with neutron transport and reactor analysis software (SCALE code
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of the annual NOAA Hurricane Field Program to collect novel observations. Department Specific Functions Duties include but are not limited to: • Develop clearly written code and comments to analyze observational
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support the neutronics and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA
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and train gifted individuals who share this vision. ***This is a 2-year contract effective August 30, 2027– August 17, 2029*** Pay Range: UCLA Health’s salary range for this title code is $88,900
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computational models and reproducible analytical pipelines. Validate automated behavioral measures against expert human coding standards. Develop approaches that support objective measurement of caregiver
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evaluation. Automate routine data management and quality assurance processes. Utilize version control and best practices for code management and documentation. Optimize computational efficiency across research
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code, and publish results in leading mechanics journals. Beyond core research, the position offers opportunities to develop collaborations, to gain structured experience in research-proposal writing, and
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commercial (e.g. Abaqus, ANSYS, etc.) and/or open-source finite element (FE) codes (e.g., MOOSE, DAMASK, etc.) is required. Experience with microstructural modeling (e.g. crystal plasticity) applied to fatigue
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assessment, resilience analysis, and catastrophe modeling. Experience with code development and management. Technical skills in data science Experience in probabilistic modeling and surrogate modeling. Terms
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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP