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are eager to contribute to this rapidly developing field. Our research spans multiple disciplines, and we welcome applicants with backgrounds or interests in areas such as quantum optics, nanofabrication
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Network funded by the European Union. As a Doctoral Candidate in MET2ADAPT, you will focus on developing a robust framework for uncertainty quantification (UQ) and technology qualification, aimed
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. Applicants will be informed of their assessment by the university. About Nordcee At Nordcee, six key research areas are explored, Microbes and Element cycles; Deep-sea research, Co-evolution of Life and Earth
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thereafter. The PhD project will focus on developing and testing AI-assisted computational workflows for predictions of both ground- and excited-state material properties, with applications spanning
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. Experience working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses
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through online surveys and interviews, prototype development for accessible setup and operation of nanoservers (both on web and mobile platforms), and longitudinal evaluation of the prototypes through live
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stipend is open for appointment only from 1 September 2026. Your work tasks A PhD stipend or integrated PhD stipend in accelerated materials discovery is available. Development of new sustainable energy
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is to develop RL methods that can search large policy spaces and support decision-makers in exploring robust strategies under deep uncertainty. Policy problems typically involve many control levers
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develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research
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undomesticated and feral urban animals. Through ethnographic fieldwork and archival studies in Denmark, Sweden and Norway, we follow the technological development and legislation on animal rights in the EU since