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for Explainable AI”, funded by the Dutch research council (NWO). You will be part of a team with two PhD students, supervised by Dr. Tim van Erven. This is what you will do Explainable AI (XAI) is a hot topic in
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propulsion, engine clustering, low structural ratio and low-cost system-integrated avionics; develop mathematical models relating to the cryogenic liquid engines and their components to be applied
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Postdoctoral position on project 'Libraries as Links in Learning: Making the Meaning of Manuscripts'
of the holdings of Leiden University Library (UB), is headed by two PI’s (Dr Irene O’Daly and Dr Bram Caers), and a PhD student (Lisa Lenderink). The project The nineteenth century heralded a new age in the
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-of-the-art mass spectrometry facilities, including 15 high-end mass spectrometers housed at the Interfaculty Mass Spectrometry Center (IMSC) at UMCG. Access to 3 high-end computational clusters with 48-96 CPU
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the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention
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Center (IMSC) at UMCG. Access to 3 high-end computational clusters with 48-96 CPU threads, 512-786 GB RAM and >200TB storage each. A collaborative and supportive research environment with leading experts
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universities. analyse various vehicle architectures and configurations with special emphasis on the two-stage-to-orbit (TSTO) vehicle based on LOx-methane cryogenic liquid propulsion, engine clustering, low
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fundamental and applied interest. Specifically, you will develop and/or apply algorithms to predict structures/functions of metabolites and associated biosynthetic gene clusters, as well as to predict
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spectrometers housed at the Interfaculty Mass Spectrometry Center (IMSC) at UMCG. - Access to 3 high-end computational clusters with 48-96 CPU threads, 512-786 GB RAM and >200TB storage each. - A collaborative
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supervision in one or more of the BA and MA programmes offered by LUCAS. Your profile You hold a PhD in a relevant discipline, awarded by the time of appointment. You have demonstrable experience of carrying