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revolutionized our ability to obtain large scale RNA structure and RNA-RNA interactome information in the cell (Aw et al., 2016). This greatly expands our understanding of how RNAs are organized within the cell
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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statistical genetics techniques to analyse large-scale single-cell and genomic data. Data Analysis: Process, analyse, and interpret high-throughput single-cell and genomic data to derive biologically meaningful
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will be responsible for reviewing relevant research, designing and conducting large-scale sensory and consumer studies, analyzing data, and generating insights that contribute to relevant scientific
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utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies the impact of early life
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Postdoc position to support international research and capacity-building projects employing elect...
of large-scale EM data for groundwater mapping. Teaching and training of Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological interpretation
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the information encoded in our genome to better diagnose, treat, predict and prevent disease. From the individual patient with rare disease, to the many thousands affected by complex, widespread illness, we
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) parameters and state variables. Inferring these parameters and/or states from large amounts of possibly high-resolution data leads to computationally intensive inverse problems. The team aims at developing
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neuropsychological methods and large-scale cohort studies to advance mechanistic resilience research in the field of cancer survivorship. To strengthen the team in the Division of Cancer Survivorship & Psychological
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increasing independence over time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process