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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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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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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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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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) 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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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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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to communicate effectively in English Research experience on process-based and ML models to simulate nutrient flows in agro-ecosystems Strong skills with scripting (R, Python) and programming Ability
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assimilation (DA) system with a variational DA approach. Perform ocean OSEs, with various DA cycling and different data windows, and conduct hurricane predictions using the coupled Hurricane Analysis and