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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 8 hours ago
Acceptable Education & Experience: A Ph.D. in Applied Mathematics, Physics, Mechanical/Aerospace Engineering, or Atmospheric or Oceanic Science, with a focus on Fluid Dynamics Experience in high-performance
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of target users. Performs basic data analysis in order to product reports. Documents results and processes. Performs library research and field explorations. Other duties as assigned. Requirements: High
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(SUNBIRD) to validate blood biomarkers for Alzheimer’s disease in a large clinic-based cohort. This position is a member of a multidisciplinary research team and performs a variety of research, data base
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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and Informatics Leadership and Professionalism Communication and Teamwork Clinical Coordinator Responsibilities Performs non-GCP related study management activities; Performs study procedures with
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to visualize key performance indicators, patient volumes, and program outcomes for stakeholders. Develops dashboards for program operations and research. Designs and develops statistical analysis for research
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minimal supervision, to set up and perform routine and established lab procedures in support of lab goals. To collect, enter and summarize data. To monitor results and report unusual outcomes. Key Duties
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. General Responsibilities As a Researcher, you will play a key role in driving scientific discovery by independently leading and executing research projects. This professional-level position demands a high
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Description Position Summary The University of Alabama at Birmingham, Med - Cardiovascular Disease, is seeking an experienced Researcher Associate to join their team to set up and perform routine and
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. Develop skills in coupling crop and hydrology models at watershed scales. Gain experience validating models using large, multi-source datasets. Learn to apply high-performance computing and machine learning