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the secondment activities. The scholarship carries a monthly salary including pension plus office facilities and financial support for conference travels and research visits abroad. Conditions of employment will
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advantageous: Familiarity with LCA modelling, with consideration of mass and substance balances, data quality assessment, sensitivity and uncertainty assessment applied to membranes or similar products
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data Design algorithms for correlating low-level events into process-level attack models Contribute to joint framework development with TU/e on continual learning Collaborate with industry partners
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, what motivates them to engage with disruptive technologies, and how emerging regulatory frameworks and business models influence their decisions. The doctoral research will focus on mapping the diffusion
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
. The place of employment is at the Department of Cellular and Molecular Medicine, Panum, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research
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support for conference travels and research visits abroad. Conditions of employment will be in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional
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models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train these methods in a closed-loop
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living conditions of voice-hearers in vulnerable positions, guided by the following combined research and practice questions: How can artistic co-creation open affective passages that challenge entrenched
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artistic co-creation can become a method for transforming the living conditions of voice-hearers in vulnerable positions, guided by the following combined research and practice questions: How can artistic co
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python