Job Description Job Description Mission: Woodwell Climate Research Center (Woodwell Climate) conducts science for solutions at the nexus of climate, people, and nature. We partner with leaders and communities for just meaningful impact to address the climate crisis. Woodwell Climate is a rapidly growing, top-ranked, independent non-profit climate research institute whose mission is to advance science-based climate policies through scientific research and outreach. Our world-leading research and impact helps individuals, organizations, corporations, communities, and nations understand the realities of climate change, recognize the impact on our planet, and embrace the urgent action needed to safeguard the future of life on Earth. Summary/Objective: Join Woodwell Climate’s soil carbon team as a Postdoctoral Researcher working on a multi-year project developing and deploying a carbon monitoring system for conservation practices across the Northern Great Plains Ecoregion. This position is part of a large team that includes researchers, conservation practitioners, and rangeland managers at National Fish and Wildlife Foundation, the National Audubon Society, World Wildlife Fund and Columbia University. The successful candidate will improve, parameterize, and implement a high-performance computing (HPC) platform-based modeling system which leverages remote sensing imagery, field measurements, and survey datasets with both machine learning and process-based models. Responsibilities include but not limited: Collaborate on improvements to the Rangeland Carbon Tracking and Monitoring tool Liaise with project partners across institutions Efficiently process and downscale spatial and remote sensing data products from multiple platforms Adapt and refine code for carbon cycle model Develop an efficient pipeline for implementing the model at scale (millions of acres) Develop a web application for the public to access the model Lead the development of manuscripts describing model development and application Required Knowledge, Skills and Abilities: Demonstrated knowledge of carbon cycling in terrestrial ecosystems Experience improving and implementing carbon cycle models Strong data science skills including proficiency in spatial data analysis Strong coding skills using R and Python (C/C++ or Fortran a plus) Experience with cloud-computing and Google Earth Engine Superior oral and written communication and networking skills Ability to work as a member of a highly collaborative team in a fast-paced environment Familiarity with management of working lands a preferred Experience with machine learning / artificial intelligence a preferred Willingness to travel about 10% of time Qualifications: Ph.D. (granted or expected soon) in Soil Science, Environmental Data Science, Earth System Science, Ecology, Geography, Environmental Engineering, Computer Science or a related discipline Physical Requirements: In the office:
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Job Description LanceSoft is seeking a local contract Medical Lab Technician for a local contract job in San Leandro, California. Job Description & Requirements ~ Specialty: Medical Lab Technician ~ Discipline: Allied Health Professional ~ Start Date: 02/...