29 algorithm-development-"Multiple"-"Prof"-"UNIS" PhD positions at University of Groningen
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infrastructure managers in developing cross-sectoral strategies to proactively shape infrastructure demand, as an alternative to the traditional and increasingly untenable 'predict-and-provide' paradigm. By
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internationally recognized research centre and gain valuable research experience at a top-ranked European university. As a PhD candidate, you will develop your own research project in consultation with
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candidate, you will develop your own research project in consultation with the supervisory team. You will conduct independent and original academic research and report results via peer-reviewed publications
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fail to reach those most in need. To develop equitable and effective policy tools, further research is needed on the contexts, compositions, and mechanisms of retrofits, as well as a deeper understanding
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transition. International research echoes this concern, noting that retrofit programs frequently fail to reach those most in need. To develop equitable and effective policy tools, further research is needed
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and foster equitable decision-making? To answer this question, the research will explore areas such as the following: Characterizing human-AI collaboration for bias mitigation – Developing a conceptual
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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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at where and how such antivirals can change viral structure, this knowledge can be used for the development of better, more efficient antivirals that disturb the structure and dynamics of viruses faster and
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: Optimize network design: Develop a robust, scalable thermodynamic–hydraulic framework to size and configure prosumer-based heating and cooling networks under conditions of price volatility, CO2 taxation
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies