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at the ICN. ICN is an inter-disciplinary research institute, bringing together different disciplines with common interests in the human mind and brain, in both health and disease. The ICN has over 120 staff
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of haematopoietic cells are influenced by different microenvironments. To achieve that, we use state-of-the-art single-cell RNA-seq, multiome, and spatial transcriptomics data generation combined with computational
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to assess in how far vertical mixing is beneficial or detrimental for productivity under different environmental conditions (soil moisture, atmosphere) and how it might affect optimal stomatal control
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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) Perform data analysis, visualization, and interpretation of results Help compare and rank different insulation design configurations Assist in preparing reports, figures, and documentation Support general
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these effects in different solvents with molecules of different types: organic or inorganic, structure chirality or atropoisomeria. Main activities: This project is based on Optical Raman Activity (OAR
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systems, with applications to various robotic systems. Key Responsibilities: Conduct research in the area of control theory and machine learning Conduct experiments on different robotic platforms
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experiments: Combining gastruloids at different stages of differentiation to study the impact of heterogeneities on EMT transitions and collective behaviors. • Spatiotemporal activation of TBRA: Use
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The United Kingdom is facing complex challenges and opportunities for biodiversity in the face of changing agricultural policy, and climate change. The benefits and trade-offs of different ways to address