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Professor Appy Sluijs, and close collaboration in this project will be with Dr. Peter Bijl. Multiple others will be involved for specific aspects of the project, including several scientists involved in
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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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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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, 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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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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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