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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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to build and validate edge-assisted offloading strategies, complete with software APIs, through rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for
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AQWA or equivalent) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability. Experience in designing connectors or mechanical interfaces is a plus. Familiarity with 3D
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. Develop and troubleshoot embedded hardware and software for charger communication and control. Work on energy storage integration for marine charging infrastructure. Collaborate with industry partners and
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interviews, and experimental study design is required. Familiarity with statistical analysis software (such as SPSS, SAS, or R) and qualitative analysis packages Demonstrated abilities in managing research
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using CST Studio Suite and circuit simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful
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, to ensure proper operation and maintenance of equipment. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405649/research-fellow-eng… Requirements Additional Information
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on an industry innovation research project where you will be part of the research team to develop/produce/investigate a web-based Ship Simulation and Optimisation Software Platform. Key Responsibilities
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hardware. Knowledge of building management systems, software integration, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities. Ability
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, Meshing tool and post-processing software. Able to work independently with strong data analytical skills, communication and interpersonal skills. Key Competencies: Proficient in Ansys Fluent or FDS