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and group activities. Collaboration with other PhD candidates, postdoctoral researchers and other faculty member will be encouraged. At the end of the PhD program the candidate will be an expert in
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transmission of data: key elements in assessing the environmental impact of IT systems. You can extend these data flow diagrams with the expected energy consumption so different design variants can be considered
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the Table Representation Learning Lab and is member of the Database Architectures group. Prior to joining CWI, she was a postdoctoral fellow at UC Berkeley after obtaining her PhD from the University
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tenure-track researcher at CWI in Amsterdam where she leads the Table Representation Learning Lab and is member of the Database Architectures group. Prior to joining CWI, she was a postdoctoral fellow at
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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practices on various landscape aspects and conversely the conditions of the landscape for successful regenerative farming. Landscape aspects include soil health, natural elements, biodiversity and water
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the related biogeochemical controls. Position 2: Anaerobic methane removal. High-latitude coastal sediments are increasingly subject to an increased input of organic matter and metal oxides from land
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strong translational and societal impact component. We are looking for enthusiastic and talented PhD candidates with Essential qualifications An excellent MSc degree in Biomedical Sciences, Molecular
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reticular framework materials, such as metal organic or covalent organic frameworks (MOFs and COFs). This could lead to responsive adsorption, transport and release triggered non-invasively by light. Another
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-spectroscopy, and (extensional) rheology will be used to quantify different structure characteristics, ingredient and water distribution, and textural properties. The gained knowledge will be used to provide