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graded, student-written texts from UvA databases. Important steps constitute the development and validation of automated and potentially LLM-based scoring metrics. These metrics will then be used to inform
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models in Matlab or Python. Laser-assisted automated fiber placement Laser-assisted fiber placement (LAFP) is an additive manufacturing technology for thermoplastic composites. A laser heats both the
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geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
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multimethod quantitative approach, such as longitudinal survey research, (automated) content analysis, and experiments. You will work closely with the PI and members of the Strategic Communication group. You
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analytics in a variety of biotechnological applications to faciliate real-time monitoring for in-depth biological understanding and subsequent automated process control. The Ottens lab works on implementation
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intuitive links between search parameters and the resulting geometry or performance outcomes. The result will be an LLM-driven framework giving designers clearer cause-effect control over generative shape
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control over generative shape optimisation. 2 – Explainable AI with LLMs for Transparent Decision-Making in Design Engineering This project combines classic XAI methods with LLM capabilities to generate
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control over generative shape optimisation. 2 – Explainable AI with LLMs for Transparent Decision-Making in Design Engineering This project combines classic XAI methods with LLM capabilities to generate
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PhD student for studying in vitro single-molecule transport across peroxisome mimics Job requirements The selective control of import and export across membrane-spanning pores is vital for our cells
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vitro single-molecule transport across peroxisome mimics Job requirements The selective control of import and export across membrane-spanning pores is vital for our cells. Typically, the specificity