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Field
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sufficient postdoctoral experience in a related field, appropriate to an early career researcher. Desirable: D1 Experience of analysing genome-scale data D2 Experience of analysing genetic data in the context
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closely related discipline, with postdoctoral or equivalent professional experience preferred. You will bring: Expertise in Transport Planning is essential. A deep understanding of the New Zealand transport
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with degree conferred by the time of appointment. Candidates must demonstrate experience with GIS or other geospatial technologies, show potential for excellence in undergraduate teaching, and
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with degree conferred by the time of appointment. Candidates must demonstrate experience with GIS or other geospatial technologies, show potential for excellence in undergraduate teaching, and
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with degree conferred by the time of appointment. Candidates must demonstrate experience with GIS or other geospatial technologies, show potential for excellence in undergraduate teaching, and
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transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data (e.g
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expertise in geoinformatics, geographical information systems (GIS), remote sensing, geospatial analysis, or related fields. The successful candidate is expected to obtain externally funded research projects
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meteorological, snowpack, and avalanche datasets using statistical, geospatial, and programming tools (R and Python). Calibration, evaluation, and application of snowpack and hydrologic models (e.g., SNOWPACK
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postdoctoral appointment in Remote Sensing of the land surface, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to
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of VTNSI’s research faculty, individuals in these roles will serve as senior technical contributors and integrators in areas such as intelligence, surveillance, and reconnaissance (ISR); geospatial