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Field
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interactions:(1) We propose to study the realization of more complex tasks than textual answers generation to include the generation of graphical widgets and data visualization means when appropriate
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we
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for a few years, thus offering possibility of contract renewal. Position Summary: Under the direction of the Principal Investigator and Program Director for the CREATE program for training on complex
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of the Microverse” (www.microverse-cluster.de ), the CRC/Transregio 124 “Pathogenic Fungi and Their Human Host: Networks of Interaction” (www.funginet.de ) funded by the Deutsche Forschungsgemeinschaft and the
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specialism. Demonstrable ability in planning, undertaking and project managing research to deliver high quality results. Ability to communicate complex information clearly, to a wide audience. Strong report
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communication with all elements of a multi-level research network, interacting with sponsoring agencies and compliance and regulatory groups such as the Institutional Review Board (IRB), Food and Drug
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of the Cancer Center by providing comprehensive coordination and data management for low to medium complexity cancer-related protocols according to Good Clinical Practices (GCP), internal standard operating
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where