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the fundamental understanding of pesticide residues in soils through experimentation, modelling, and big data analysis. You will: Combine existing farm management, soil property and soil pesticide residue data
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propulsion, engine clustering, low structural ratio and low-cost system-integrated avionics; develop mathematical models relating to the cryogenic liquid engines and their components to be applied
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uncovering companion biomarkers for precision treatment using cutting-edge bioinformatics and proteomics approaches. You will analyze bulk and clonal protein expression data from large melanoma cohorts
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention
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universities. analyse various vehicle architectures and configurations with special emphasis on the two-stage-to-orbit (TSTO) vehicle based on LOx-methane cryogenic liquid propulsion, engine clustering, low