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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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organization under the supervision of the French Ministry of Higher Education and Research. The PhD student will work within a dynamic collaboration between the Laboratory of Rheology and Processes (LRP) and the
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leading to the PhD degree. INFORMATION AND PUBLICITY OF THE FINANCING GRANTED In all R&D activities directly or indirectly financed by the grant, including in all communications, publications and scientific
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Stig Brøndbo 25th September 2025 Languages English English English Faculty of Science and Technology PhD Fellow in synthetic organic chemistry Apply for this job See advertisement The position A PhD
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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the field of Materials Science and Engineering, under the supervision of researchers from PCL, within the scope of PCL projects – GreenSet, reference CENTRO2030-FEDER-02054700, financed by Portugal 2030
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below). C-LaBL is financed by the Trond Mohn Foundation in the period 2024–2029. Expected starting date: January/February 2026 or earlier. The position is a fixed term position for a duration of 3 years
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in future. Convening Participatory System Mapping (PSM) workshops, in which participants will identify and group factors (e.g., health, finance, mould) that influence net zero housing policies. About