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challenges holding back an even wider usage. This PhD position is part of the national NanoMedNL consortium that aims to counter these challenges and thereby accelerate and support the development of novel
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collections interact with power, knowledge, and ongoing processes of heritagization. The candidate is encouraged to develop new methodologies that center community-led, ethical, and innovative approaches
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aims at developing tools using large language models (LLMs) for the correction of misinformation about climate change in social media. The successful candidate will develop innovative tools leveraging
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-research-projects-awarded-through-open-competition-domain-science-m-programme ). Responsibilities and tasks: Development of novel electrocatalysts for N2 fixation. Fabrication of single cells with targeted
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create