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flows, or reinforcement learning-based design optimization. Strong programming skills in Python with experience in PyTorch, JAX, or equivalent deep learning frameworks. Ability to work independently
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Vacancies Postdoc position in open-source respiratory signal analysis (M3RESP) Key takeaways You will work on the development of M3Resp, a new open-source FAIR platform for multimodal monitoring
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on the results of the Erasmus+ project EDDIE. When it comes to the research part: This PostDoc project explores how artificial intelligence (AI) can be leveraged to optimize energy portfolios for local energy
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relationships describing the emission, fate and effects of pollutants as a function of size. We intend to derive overarching scaling principles that apply across multiple disciplines, including hydrology
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. Your research will uncover how adaptation professionals navigate this tension — and what strategies actually work. You will be embedded in the TASICI project (Transformative Adaptation Strategies
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of research yet on cultivating hope in parents—we need to consider expertise across disciplines, including non-published work and non-academic expertise. Crowdsourcing interventions allows for this approach in
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closely. You will work with multidisciplinary teams across Maastricht University, and with national and international research partners in collaborative projects addressing chronic metabolic and
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trade-off and scenario analyses? Then this may be the perfect postdoc position for you! As Postdoctoral Researcher in Scaling Soil Moisture Retention (SMR) Practices you will play a key role in the
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individual building level, directly contributing to reducing network congestion in the Netherlands. Your work will have real-world impact: the models you develop will be tested and validated together
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motivated to advance trustworthy artificial intelligence in medical imaging? In this postdoctoral position, you will work on explainable AI and foundation models for CT imaging, combining methodological