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Field
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variety of different materials and minerals available both within New Zealand and internationally. You will utilize a variety of analytical equipment (ie. SEM-EDX, XRF, XRD, TGA, FTIR, GC …) to assess and
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) data analysis, or (c) design and implementation of novel field and lab experimental methods. Qualifications Basic qualifications PhD in soil science, ecology, earth and environmental sciences, and
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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independently and collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant
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working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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biology methods, inorganic spectroscopy, metabolomics, proteomics, aqueous phase catalysis, analytical methods (mass spectrometry, NMR). Experience in data analysis and scientific programming (Python
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School of Medicine Benefits Eligible Postdoctoral Fellows may be eligible to receive certain UNM benefits . See the Benefits home page for more information. Position Summary The Department
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field, laboratory, and analytical research related to (1) electrically conductive concrete (ECON) for heated transportation infrastructure, wireless electric vehicle charging, and structural health
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communities, such as the human gut microbiome. This role will use a combination of microbiological, genetic and analytical techniques to isolate and engineer bacteria for use as next-generation probiotics