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initiatives in function of advanced data analysis in the broad field of road safety research (with focus on, among others, regions, road types, road user categories and their interactions, assessment of road
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deployment in Europe, carried out at the Louvain Institute of Data Analysis and Modeling in Economics and Statistics (LIDAM). The project focuses on the theoretical analysis and design of auction-based support
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focuses on the theoretical and empirical analysis of the trade-offs between demand-side response and consumer protection, using tools from economics and energy system analysis. The project aims
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focuses on the theoretical analysis of policy interventions addressing energy-related inequality, drawing on public economics and information economics. The analysis may involve calibration and, where
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chemicals in an electrolyzer system. The student will carry out systematic experimental investigations, supported by theoretical analysis from collaborators, to design and develop multimetallic
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clinical trials. Key Responsibilities Perform end-to-end analysis of single-cell RNA-seq, multiome, and spatial transcriptomics datasets from patient samples. Integrate multi-modal genomic, clinical, and
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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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, or related fields Strong interest in quantitative methods and drug development Hands-on experience with modeling and simulation software tools (e.g., NONMEM, R) and statistical data analysis Programing skills
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), (cryo-)electron microscopy analysis, and advanced cellular assays utilizing Crispr/Cas9 tagging. . Our mission is to translate these mechanistic discoveries into a detailed understanding of the autophagy
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, GC), and process modelling. Experience in experimental design, parameter optimisation, and statistical analysis is valued. Further, all MSCA-DN specific eligibility conditions apply: Mobility rule. Not