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(e.g. interviews, focus groups, content and discourse analysis) and quantitative data (e.g. surveys, travel behavior datasets); write academic publications and research reports; present research findings
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analyze imaging (DHM) and sequencing datasets (RNA-seq, Ribo-seq where relevant; nanopore long-read). • Perform computational analysis: differential expression, splicing, RNA processing and modification
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mini-applications that embody key AI workloads by combining multiple underlying kernels and the key data communications between them. You guide and help analysis and optimization of the performance
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biostatistics, infectious disease modelling, and geospatial analysis. You will be part of the Center for Statistics, a dynamic research team within the Data Science Institute, with extensive national and
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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everyday practices of street-level bureaucrats and private actors involved in eviction processes. Using a comparative mixed-methods approach, the project combines: Quantitative analysis of eviction court
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everyday practices of street-level bureaucrats and private actors involved in eviction processes. Using a comparative mixed-methods approach, the project combines: Quantitative analysis of eviction court
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identification, reduce uncertainty, and enable cost-effective risk managementIntegrate advanced coupled modeling with soft computing techniquesUse metamodeling for global sensitivity analysis Apply probabilistic
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of liposomal formulations.•LC-MS-based lipid or metabolomics analysis.•Regular contact with supervisors and other members of the laboratory including presentation of data at lab meetings.•Supervision of bachelor
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the coupled response of the tunnel and surrounding soil. Conventional techniques—such as visual inspection, strain gauges, and convergence measurements—often fail to detect distributed or deep-seated defects