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project on the ROMAN galaxy redshift survey project infrastructure team led by Dr. Slepian in the Department of Astronomy. A position is available in our group to work on developing software infrastructure
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software technologies for advanced preclinical imaging and irradiation. Refining disease models (primarily cancer) that closely mimic human pathology to support translational research. You will play a key
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health data, c. QA/QC of collected and analyzed data and data validation and verification against independent sources, d. data summary and analyses, e. modeling of individual or multiple elements
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aim of translating findings into clinical trials. This project has two main objectives: Developing novel hardware and software technologies for advanced preclinical imaging and irradiation. Refining
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. Professional skills: the ability to extract information from literature as well as public resources and databases such as deepmap and C-bioportal, ability to use statistical software, ability to present results
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Engineering Center (PSEC) at NREL, a highly interdisciplinary and collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling
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flow dynamics. Experience in network analysis, capable of analyzing and interpreting the interconnectedness and hierarchical structuring of river systems. Familiarity with software and tools
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: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data
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design for clinical research and cohort studies Programming/coding proficiency in statistical software Savvy importing/exporting data between various systems/platforms Experience working with individuals
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using software and programming languages such as R, Python, Google Earth Engine, etc. Demonstrated ability in integrating ecological theory with ecosystem ecology and remote sensing to improve predictions