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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
biochemical networks, cells, and developing organisms. We aim to quantify the overall energetics of living systems and to understand how cells and organisms transform and partition energy among the complex
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complex designs, and conducting big data analyses using advanced statistical models. Experience in the use of various datasets, e.g., TOPMed, UK Biobank, All of Us, and/or digital health data, is also
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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networks for Chinese older adults with dementia. Responsibilities: Conduct literature review for the Principal Investigator; Work with the Principal Investigator in data collection for the project; Perform
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, complex longitudinal data sets. Fluent written and oral proficiency in Norwegian is required for the data collection. Good written and oral proficiency in English is required. Desired qualifications
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regulatory network. Be involved in manuscripts/reports preparation. Work closely with other team members and train new members Required Qualifications* PhD in Bioinformatics/Statistics Strong experience in
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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rewarding career. Job Summary The Canadian Pharmacogenomics Network for Drug Safety (CPNDS) is a Pan-Canadian network for research with a specific aim to prevent serious adverse drug reactions (ADRs) by
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authorization. This gift funded role is expected to be one year in duration but may be renewed annually. Responsibilities Architect complex machine learning and scientific computing research projects, including
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, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods and machine learning