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Field
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an engineering perspective into a prioritized roadmap. Execute Agentic AI-Driven Technology Testing & EDA: Lead short, hypothesis-driven prototyping and exploratory data analysis (EDA) using real or representative
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Responsibilities • Implement and test statistical and computational models for infectious disease dynamics (compartmental models, Bayesian inference, phylogenetic analysis, or machine learning pipelines depending
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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heterogeneity in malignant brain tumors. The primary responsibilities for this position will be focused on analysis of single-cell transcriptomic and epigenomic datasets with the goal of identifying cell types
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housing estates in Flanders and analyse co-creative and ‘futuring’ methods for co-design. Together with residents and other relevant stakeholders, and inspired by the analysis of destigmatising practices
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
computational modelling and simulation in engineering, including numerical methods, finite element analysis, constitutive models, response prediction, or digital twins (0–4 points); Experience in computational
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effectiveness of the developed interventions with end-users and key stakeholders. The candidate will also contribute to ethics submissions, data governance documentation, and analysis plans in accordance with
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and operates its own imaging core; shared campus high-performance computing resources support the cluster's pipeline-wide data integration and analysis. The work is supported by multiple active federal
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-reviewed academic journals. Collects data and conducts statistical analysis. Conducts literature reviews and perform research. Leads system architecture decisions, model selection, and fine-tuning strategies
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in the European context. Familiarity with the EU LULUCF Regulation and Governance Regulation is considered an asset. Data and modelling skills: Excellent data-analysis skills in R and affinity with