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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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and analyzes quantitative and qualitative data on the firms’ pro bono efforts related to human rights, environment and climate change, and migration. PROBONO seeks to understand these dynamics and their
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on their approaches and information infrastructures, you will improve the communication in the development process. You will lead the development of a digital (file) format for the A3AOs that contains both visual and
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scholarly publication in the last 3 years listed in the Thomson Reuters Web of Science or Scopus database, and of the type “article,” “book,” “book chapter,” “letter,” or “review” (as of the date of selection
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reference list). The proposal should include the research question(s), the theoretical background, a discussion of the relevant literature, ideas on methods and data collection, and reflections about
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Lars Roar Frøyland for more information about the project. via Unsplash More about the position The PhD fellowship appointment runs for three years without compulsory duties, or four years with 25
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Applications should include: Curriculum Vitae including a list of publications or manuscripts in preparation (if applicable) and details of MSc training Cover letter Copies of degree certificates
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MSc) related to the subject area of the project, e.g. environmental chemistry/science, geochemistry, earth science, environmental engineering, or chemistry. For information of eligibility of completed
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dune datasets along the Dutch coast. Using remote sensing, you will create a national dune vegetation dataset and compare it with dune morphology data to assess the role of vegetation in decadal dune
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the European Union) The content of the research activity: Oral data collection and processing. Second or additional language’s structures analysis (phonological phenomena and/or morphosyntax). Other Participation in