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PhD in Chemistry, Biochemistry or a relevant subject area, (or be close to completion) prior to taking up your appointment. The research requires experience in bottom-up mass spectrometry
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. Our empirical research focuses on corporate headquarters and museums. One of our current case studies is the upcoming Museum of Architecture and Design in Helsinki, which aims to “redesign the world
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
for isomerization in MOFs: https://doi.org/10.1039/D3QI01065A What we are looking for: A PhD in Chemistry, Materials Science, Physics or a related field Experience in python (ASE, scikit-learn, pytorch) is essential
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis
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interact with other members of the unit You participate in teaching on bachelor and master level You participate in evaluation measures and in quality assurance This is part of your personality: PhD in
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help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience relevant to the post. It is also
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The Role We are seeking a Research and Innovation Associate with a particular emphasis on the role of local heritage in the Green Corridors of the North East. The aim of GCNE is to develop new co
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distributed quantum computation. In this project, we plan to push all of these areas further, with experiments in blind quantum computing, quantum repeaters, and enhanced metrological quantum advantage. We seek
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer