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Field
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
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, including the ability to meet deadlines. Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint) Ability to work both independently and as part of a team Enjoys being part of an academic
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longitudinal analyses preferred but not required), including independence with use of SAS, SPSS, and/or R software Ability to efficiently multitask and meet deadlines Skill in taking initiative, assuming
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Maintain a mouse colony and establish genetic crosses Maintain detailed experimental records Use standard laboratory software that includes Microsoft Word, Excel, and PowerPoint, GraphPad Prism, SnapGene
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aspects of CMS, including detector operations, upgrade, software, and physics analysis. The group is deeply involved in detector upgrade projects using a center of excellence for composite manufacturing and
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, including detector operations, upgrade, software, and physics analysis. The group is deeply involved in detector upgrade projects using a center of excellence for composite manufacturing and simulation
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. PV field system data analysis (time-series data analysis with JMP software and /or Python). Accelerated ageing procedures (IEC standards). PV module failure modes. Corrosion. Strong communications
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data analysis and statistics using available software. As a senior member of the lab, and to build leadership skills, the incumbent will work with Dr. Condello to coordinate lab management and
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, Medicine, Global Health, Respiratory Medicine). Strong background in epidemiology, clinical research, or biomedical sciences. Proficiency with data analysis and statistical software (e.g., R, SPSS, Stata
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an amine plant. Plant process simulation software packages, such as gPROMs and Aspen will be employed with some complementary experimental investigations. The outcome from the project may be used in