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available datasets. Utilize advanced statistical and analytical tools (Python, R, SQL) to derive actionable insights from data. Lab activity support Participate actively in team meetings, brainstorming
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work
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in support of research hypotheses. Implement and document code in Python (preferred), including data manipulation and estimation routines. Produce tables, figures, and written summaries of results
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data analysis workflows in Python Conduct citation analysis of innovation and collaboration patterns Assist with machine learning and/or LLM-based analysis Participate in mentoring junior researchers in
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technology. Documented experience in data-driven urban energy modeling with Python and machine learning as well as experience in administrative tasks is also an advantage. Terms of employment The employment is
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instrumentation, measurement systems, and data acquisition Good skills in signal processing and image processing Proficiency in at least one scientific programming environment (Python or MATLAB) Basic knowledge
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work
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processing and image representation Demonstratable experience in python for data handling and algorithm development Desirable : Knowledge and experience with imaging systems (X-ray CT, MRI or similar
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also code in R and Python, all of which will lead to their work on developing their own research question, running data analysis, writing an abstract and presenting a poster. Additional Information
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and programming skills, namely in the use of MATLAB and Python. Candidates who do not meet these requirements will be excluded. Additional optional skills and qualifications: Proven experience in