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Field
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excavations (in particular), as well as in field surveys and remote sensing. Experience with lab-based find processing, drawing, and classification of ceramic and metal artifacts. Familiarity with Iberian
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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
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context. He does this by connecting the theoretical and practical aspects of EU policy, an essential factor in effective legislation and policymaking that addresses AI, environmental issues and human rights