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Field
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clinical or behavioral research settings. Proficiency in software relevant to research activities (e.g., Microsoft Office, REDCap, or statistical packages). Ability to work independently and collaboratively
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proficiency in statistical software and data analysis tools, particularly in health and climate data integration. Excellent communication and interpersonal skills with a proven track record of publishing in
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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software skills, including quantitative analyses (e.g. SPSS, SAS, or MPlus) and and/or qualitative analyses (e.g. NVivo, DeDoose) Record of or strong potential for peer-reviewed publications Strong
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Fellow will undertake research in applied LLMs, knowledge engineering and geospatial analytics and assist in the development of web application and software packages to translate the research outcomes. In
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of equity, diversity and inclusion. Desirable characteristics: Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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, which means the thesis must be submitted by the role’s starting date) in an appropriate field (e.g. architecture, civil engineering, energy, energy in buildings, community energy). PhD equivalence is
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Science, or a related field Strong background in nutritional analysis, food safety, and data integration methods Proficiency in relevant laboratory techniques and data analysis software Ability to work
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and reporting using software such as Excel or other scientific tools. Strong communication skills and the ability to work independently or as part of a collaborative research team. Desirable: Previous