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in USN’s PhD-program in within three months of accession in the position. About the PhD-project Carbon nanotubes (CNTs) are one of the most interesting nanomaterials due to their remarkable material
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opportunities via the academic promotions process. About You Completed PhD in biotechnology or bioprocess engineering. At least 2 years of experience in biotechnology or bioprocess engineering, preferably focused
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take on College officerships, where appropriate. Candidates will have recently completed, or be close to completing, a PhD in a relevant subject. They will have publications in peer-reviewed journals
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employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting
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Completion or near completion of a PhD in Physics, Chemistry, Materials Science, Nanoscience, or a closely related discipline. An emerging research profile in quantum materials or scanning probe microscopy
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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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The Faculty of History and Christ's College invite applications for a three-year fixed term Fellowship, as part of the Isaac Newton Trust's Academic Career Development Fellowship programme. The
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properties. Gen2Carbon can then process these carbon fibres into materials that can be used in both PEM water electrolysers and fuel cells, driving our clean energy revolution About Knowledge Transfer
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PhD Research Fellow in CO2 capture from November 1st, 2025, or by agreement. The position is at the Department of Process, Energy and Environmental Technology and reports to the Head of Department
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data