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Field
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. Experience with epidemiology and statistical analysis, including the use of statistical software such as STATA, R, or SAS, will be viewed positively. Documented or demonstrated ability to work independently
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Energy simulation software, such as TRNSYS, Modelica, EnergyPro Programming languages, such as Python Ability to communicate results in technical reports, and prepare scientific papers for publication in
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. Knowledge of programming languages (e.g., Python, MATLAB) and familiarity with software tools for structural analysis (e.g., OpenSees, ANSYS, Midas Gen, SAP2000, ABAQUS). Excellent communication skills in
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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat
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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat
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to office, lab space, and specialist software Opportunities to attend international conferences (e.g., USA) Involvement in Cranfield’s Doctoral Network, providing training and networking across disciplines
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+C). You will extend the existing core-level GW+C implementation in the FHI-aims software package. Currently, this approach is limited to molecules; your task will be to adapt and expand it for
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educator resources, paying particular focus to the development of enterprise skills in the computing and software development context. Expected outcomes include stronger industry-academia collaboration
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-level GW+C implementation in the FHI-aims software package. Currently, this approach is limited to molecules; your task will be to adapt and expand it for application to 2D framework materials
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, including vulnerable groups. Basic proficiency in qualitative data analysis software (e.g., NVivo, Atlas.ti, or similar) is desirable, though training can be provided. Strong written and verbal communication