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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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calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams currently lack guidance on how to create sustainable systems. You
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, for whom and why. Conduct multiple case study research adopting various qualitative and quantitative research methodologies. Build bridges between theory and VET education practice (back and forth) and
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, stimuli selection, recruitment, participant testing, report writing). Experience with experimental software (e.g., Presentation, PsychoPy, E-Prime, Gorilla). Experience in data analysis and programming in R
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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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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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that span and integrate multiple scientific domains. We are looking for candidates with strong expertise in their respective fields and a passion for interdisciplinary collaboration. Each project will not
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how we can best deal with the multiplicity of multimodal meaning in argumentative practices. The project draws on normative accounts in argumentation theory (for example: informal logic, or pragma
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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