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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
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patient partners, you will generate evidence of what works in real-world community and primary care settings. Key Responsibilities: Contribute to design, data collection, analysis and interpretation
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data analysis, literature reviews, manuscript development, and other activities related to scientific publications and applied research projects as opportunities arise. Gain experience in scientific
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., colleges, research centers, data depositories) and internal and external partners to obtain data for analysis. Assist staff and clients with Institutional Review Board process and documentation. Conduct
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psychological experiments: designing and constructing experiments, recruiting and consenting participants, and collecting data. Statistical skills, including data analysis and visualization. Familiarity with
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of distribution networks with DERs, and applications of stochastic programming/approximate dynamic programming approach. Expertise in data analysis for clustering and classification Knowledge in visualization tools