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grantsmanship and project management skills. He or she can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up
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datasets associated with heat and other extreme weather events. Observe and collaborate on the evaluation and enhancement of extreme weather and health data visualization tools, including the HeatRisk Tool
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Required Experience Background in weed ecology and weed management in agricultural systems. Proficiency with R statistical software. Experience developing interactive data visualization tools or web
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health data visualization tools, including the HeatRisk Tool and Heat and Health Tracker, under mentor guidance. Participate in collaborative discussions with CDC scientists and partners to gain insight
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reviews, statistical programming and analysis using software such as SAS, SUDAAN, and R, data interpretation and visualization, scientific writing, and scientific communication. You will also develop skills
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
, structural biology, computational biology or a related field, and experience in computational structural biology, protein structure modelling, AlphaFold/multimer-based analyses, statistics, data visualization
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validation of the system and statistical analysis of the data obtained. Preparation of technical reports and scientific articles in English for dissemination of results. Applicable legislation and regulations
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
science databases. This data analysis may be performed using various programming languages such as, SAS, R, or Python. As part of this opportunity, you will be able to engage with a multi-disciplinary
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, protein structure modelling, AlphaFold/multimer-based analyses, statistics, data visualization, and interdisciplinary work at the interface of proteomics, structures and machine learning. Track 2
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located in Austin, TX Responsibilities Developing automated image-analysis workflows; implementing visual validation protocols Exploring active learning and crowdsourced annotation approaches Quantifying