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Field
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Study (GWAS), Laboratory Operations, Laboratory Techniques, Magnetic Resonance, MATLAB, MRI Analysis, MRI Software, Neuroimaging, PET/CT, Presentations, Python (Programming Language), Quality Check
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collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and
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software or equivalent. Knowledge, Skills, and Abilities Excellent verbal and written skills. Presentation skills. Analytical skills. Attention to detail. Multiclamp 200B and 700B type amplifiers
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
/Administrative Internal Number: 25074 POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center (PSFC), to lead the development of a rigorous verification and validation (V&V) framework for FESTIM, an open-source
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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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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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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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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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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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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