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improvement. Pursue and support grant-funded research through methodological design, analytic strategy, and dissemination. Conduct advanced statistical modeling (regression, multilevel, survival, and causal
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preprocessing; Integration of geospatial and soil data into databases. Data processing and analysis: Application of geoprocessing and spatial analysis techniques; Development and calibration of predictive models
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Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational
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of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model systems. Technical scope
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system. You will combine a mechanistic model and bioinformatic analysis of public datasets to derive a score for quantifying cancer immunogenicity. You can find out more about the research here: https
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record, in many areas of breast cancer including pathology; cell, molecular and radiation biology/radiotherapy; medical oncology/chemotherapy; translational oncology; clinical trials; pre-clinical models
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version control systems. Excellent analytical, writing, and communication skills in English. Desirable Experience developing and evaluating models for time series, tempo-spatial, and/or probabilistic
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and chemical oceanography and the intersection of these disciplines. Potential research lines could focus on spatial and/or temporal aspects of e.g. ocean carbon cycling, physical oceanography, ocean
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ACCE+ DLA programme: Landscape-scale drivers and limits of endangered species spatial and temporal distribution School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD