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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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statistic methods and computer programs for analysis of quantitative or qualitative data (e. g. SPSS, R, AMOS, MAXQDA) and profound knowledge of computerized literature search Didactic competence Excellent
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 days ago
acquisition Good communication skills in English and ability to collaborate in interdisciplinary teams Desirable qualifications Experience with machine learning methods for regression or signal interpretation
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implementing novel and innovative tools, technologies and approaches to fundamental problems in systems and circuit-level neuroscience. For more information about the lab check out: https
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experiments (wet lab) and data analysis with a focus on either aspect of the work. Proposals describing research that leads to new tools and/or methods for improving confidence in microbial measurement
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database systems for Alzheimer's disease. Develop and implement artificial intelligence (AI) and machine learning (ML) pipeline and software tools for patient subtyping, target prioritization, and drug
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refrigeration systems. Advanced knowledge of HVAC operation, repair, maintenance, and installation. Advanced skills in the use of HVAC diagnostic equipment and hand tools. Demonstrated ability to install, repair
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and building maintenance Working knowledge of math, including fractions and decimals Considerable skills in the use of hand and power tools related to the carpentry trade Demonstrated ability to follow
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. Identify and proper us hand tools to include trench shovel, hand pump, saw blades, hammers, etc. Identify and proper use of power tools to include drills, Sawzall, gas pump, hole saws, small generators, etc
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defining the scope and objectives of new or modified computer programs within the NYU Law School environment. The incumbent manages the full Software Development Life Cycle (SDLC), from gathering complex