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Technologies, Social Network Analysis, Software Engineering, Programming Languages, Quantum Computing and Networking, and Cybersecurity. The researcher will carry out research, design, development, integration
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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for different user groups. -Supports the research groups in all technical matters relating to the analysis of programmed and networked art. Where to apply Website https://www.unibz.it/it/home/position-calls
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
activity focuses on the development of advanced tools for the visualization and interpretation of multilayer networks derived from complex biological data. The project emphasizes the integration of visual
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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epigenomic data analysis or gene regulatory network inference Ability to work independently and collaboratively in a multidisciplinary environment Excellent written and spoken English skills What we offer
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candidate must have at least 1+ years of research experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and examining cyber
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organize and promote events such as webinars, workshops, and networking functions. Assist with logistical arrangements and event setup. Research and Analysis: Conduct research on marketing trends, competitor
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: - Recruit participants and contribute to the overall data collection; - Setup populate and review databases; - Analyze data (related to DBS network mapping, movement and post-processing of MRI data). Employer
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calibration between Olink and SomaScan Annotation of organ-enriched proteins using GTEx and other public biological resources Development of organ-age prediction models using LASSO, Elastic Net, gradient