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Field
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temporal trends, spatial variation, site comparisons, and summary statistics. Research Analysis and Project Deliverables: · Support the interpretation of field measurement results in relation to urban
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data collection with quantitative statistical and modeling analyses and are collaborations with natural resource managers, veterinarians, and academics. You will learn to develop and conduct research
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), spatial statistics, or cloud computing Experience working in collaborative research teams Valid driver’s license and be able to successfully pass a driver’s record check Physical Requirements & Working
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along many kilometres of fibre with down to metre-scale spatial resolution – a technique coined Distributed Acoustic Sensing (DAS). The long-term ambition is to enable high-resolution, real-time warning
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disease progression. · Apply spatially resolved genomic technologies to identify immune-tumor interactions and mechanisms of immune evasion. · Explore epigenetic dependencies arising from
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for this position will join a team of computational biologists to work on multi-omic sequencing datasets (DNA, RNA, epigenetic, spatial transcriptomics and spatial proteomics) in the context of pre-clinical and
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institutional initiatives such as DAISI. Prof. Wang Yibin and Dr. Xiaoyu Song are seeking a highly motivated Research Fellow to join a collaborative, interdisciplinary team focused on statistical, computational
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(e.g. reports, policy documents, gray literature, or citizen science observations), Apply advanced statistical, machine learning, and AI techniques to analyze complex datasets and uncover actionable
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systems for optimizing adaptive, temporal, high-dimensional systems Data: Real-World Multi-Modal Patient Data: Multimodal biomedical data (omics, medical images, histopathology, single cell/bulk, spatial
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animals and researching lung comorbidities in HIV, as well as experience and publications demonstrating analyses of omics data, including RNA-seq, single-cell genomics, spatial transcriptomics, and