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consultation and support to multiple research teams in a collaborative environment Carry out integrative mechanistic studies Assist in preparing scientific publications, grant proposals and reports Work with a
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analysis and multivariate statistics (preferably using Python), to enhance building energy performance (and/or reduce building greenhouse gas) Experience in the full spectrum of research activities including
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Biomedical Sciences, Microbiology, or related fields; experience with anaerobic bacterial culturing, mass spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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steelmaking technologies (e.g., Direct Reduced Iron with hydrogen) and exploring long-term transition pathways through prospective LCA. It will evaluate multiple environmental impact categories, identify