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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, sustainability reporting, ESG analysis, or corporate sustainability is a plus. Contact information: Associate Professor Minh Thi Hong Dinh, phone number: +47 61 28 85 35, e-mail: minh.dinh@inn.no Head of PhD
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level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource
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Familiarity with qualitative analytic techniques (e.g. thematic or framework analysis) Experience using NVivo or similar qualitative data analysis software (desirable) Competence in using Microsoft Office and
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and spoken English. Applicants with MSc degrees from institutions outside Europe are expected to document English language proficiency. A good command of research methods and/or data analytics is
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Requirements: Preferably PhD in computer science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as evidenced through a portfolio of publications and/or
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training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national
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-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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recognised and encompasses a broad range of Earth Science disciplines (geoscience, hydrogeology, geodata analytics, oceanography, and in Coastal and Ocean Engineering (hydrodynamics, geotechnics). Fundamental
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analytics, oceanography, and in Coastal and Ocean Engineering (hydrodynamics, geotechnics). Fundamental and applied research is strongly tied to terrestrial and marine environments and resources, and