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according to established protocols Operating analytical equipment, such as HPLC, LC-MS/MS, etc Presenting research progress through oral presentations and publications. Required Education B.S. in a relevant
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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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including analytical chemistry, organic chemistry, inorganic chemistry, physical chemistry, materials chemistry, and biochemistry. Job Summary: Collaborative postdoctoral research will be conducted
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low-valent main group compounds with unique electronic structures and studying their reactivity, particularly boron-containing p-block molecules. Key Responsibilities: Research/project progress Data
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products. Apply the knowledge to correlate results / system operation. Set-up and monitor the performance of systems Job Requirements: PhD degree in a relevant Science or Engineering field Strong analytical
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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microbial genetics and sequencing High level analytical capability Ability to communicate complex information clearly Ability to contribute to developing new protocols and techniques Ability to assess
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analysis; Ingesting structured and unstructured data sets into GCP, building and maintaining data processing pipelines, and delivering improvements to product code and documentation to increase analytic