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the development of techniques to leverage data from multiple EM modalities to improve image quality. All developed methodologies will be validated using appropriate EM datasets and experimental setups, in
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, working at the intersection of multiple fields;- Connecting and collaborating with other national and international researchers in the life sciences and computer science;- Writing and presenting/publishing
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits
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specific interest in dynamics and effects over time. Such questions are not limited to one charitable cause, but can also involve the interplay between multiple charitable causes. In this project, you will
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charitable cause, but can also involve the interplay between multiple charitable causes. In this project, you will collaborate with Data Inside, a member of the UG’s Customer Insights Center which has data
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, working at the intersection of multiple fields. Connecting and collaborating with other national and international researchers in the life sciences and computer science. Writing and presenting/publishing
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-of-the-art machine learning, chemistry, and biology research, working at the intersection of multiple fields; Connecting and collaborating with other national and international researchers in the life sciences