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Field
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, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions for aerodynamic design optimization of wind energy systems in complex urban
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models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing
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who has been working in an academic or commercial research laboratory/company related to the differentiation of human iPSC into different cell lineages, and the assembly of complex tissue culture models
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to analyse and interpret complex data using appropriate frameworks. Strong qualitative/mixed methods research skills with extensive experience of stakeholder engagement. Excellent organisational and project
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical
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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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. Project no 2024/54/A/ST7/00379 entitled ,,Optical measurements of retinal neuronal responses”. Leader Prof. dr hab. Maciej Wojtkowski Humans are one of the most advanced and complex biological systems
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proven ability to manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information Benefits A
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for light trapping in thin-film solar cells .” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods