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of degeneration; data collection and analysis; and preparation of presentations and manuscripts. The Williams lab is an established research group at WashU Medicine. Our research goals are focused on identifying
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data dissemination capabilities for making high-resolution earth system model output available to a diverse audience. Candidates must have a PhD in computer science, environmental and physical sciences
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. This proposal should be uploaded to the "additional documents" field of the "application information" section. You should have: You should hold a PhD in systems engineering, computer science, informatics or a
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, collect and analyze relevant data. Qualifications For this position, applicants must have a PhD in sociology or another discipline that is deemed relevant in relation to the research being conducted within
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as
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your personal motivation and qualifications for the position (maximum two A4s). Curriculum vitae, including the contact information of three referees. Lists of courses followed (at M.Sc. level) including
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generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven