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, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, Bayesian inference and model selection, and variational inference. Practical and theoretical understanding
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possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers
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to identify and promote the voluntary adoption of effective bycatch reduction strategies in targeted fisheries. There will also be opportunities to contribute to writing research proposals and mentoring
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the use of R and/or Python Basic understanding of statistical modeling, and machine learning Understanding of high-throughput sequencing techniques including whole genome, whole exome, targeted capture, RNA
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student's primary field of training, we offer targeted feeder courses that are specifically designed to teach relevant basics to non-specialists. Depending on their background, life science students can take
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level techniques will be used, including recovery surgical techniques optogenetics, chemogenetics and targeted silencing behavioural testing general histological techniques and immunocytochemistry
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formats, and the economic and operational implications of implementing VR-based police training at scale. Achieving our target, requires a multidisciplinary setup, enabled by the collaboration
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300 electron microscope and the Leica THUNDER Imager EM cryo-CLEM microscope. This technology allows us to target events that happen deep in the cell so we can see more of the context of virions