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on research design, analysis, and scientific communication. You may be a great fit if: You are a highly motivated researcher with a PhD in a relevant field, demonstrating expertise in both omics data analysis
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for vector-borne diseases Data analysis of public health and cohort data with epidemiological methods Evidence synthesis to support model parameters Conduct and organization of epidemiological studies and
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language, most people also speak English. YOUR TASKS The Marchal lab (IDLab/IMEC Ghent University,https://idlab.ugent.be/people/802000961346) has an open PhD position within the Marie Sklodowska-Curie
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landscape constrains or enables discovery. The project draws on tools from topological data analysis (e.g., persistent homology, Euler characteristic curves, discrete curvature), machine learning (e.g
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protocols. Assists in developing and conducting research projects, including experiment design, data analysis and documentation of experiment results. Job Description Primary Duties & Responsibilities
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relevant research experience; Proficiency in data analysis using statistical software such as SPSS or R; Strong analytical skills and excellent written English; Self-motivated, well-organised, and able
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. Data Management & Analysis o Maintain accurate records of program data, communications metrics, and event outcomes. o Analyze trends to inform strategic decisions and improve outreach effectiveness
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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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contribute to writing bids Operate within area of specialism (e.g. conducting systematic evidence syntheses, qualitative data collection and analysis, consensus-generation using Delphi survey and workshops