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of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers designing and translating technology into the clinical
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. Your qualities For this interdisciplinary project, we are looking for a highly motivated and skilled postdoctoral researcher with a recent university PhD degree (or equivalent) in engineering, biology
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multivariate data analysis. Preferred Qualifications: PhD in Chemistry, Materials Science or Chemical Engineering. Candidates are expected to have a strong background in quantitative structure analysis based
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and contributing to scientific reports and publications. 3. Candidate Profile PhD in Mining Engineering, Industrial Engineering, Operations Research, Data Science, or a related field. Advanced expertise
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of research interests and reasons for applying to the project, a curriculum vitae (max. 5 pages) composed according to good scientific practice, a certificate of PhD and Master’s degree, copy of PhD
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standardization efforts relevant to optical wireless technologies in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering
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advertisement Job description Depending on qualifications, one PhD/postdoctoral research fellowship (SKO 1017/SKO 1352) is available at the TIK Centre for Technology, Innovation and Culture , as part of
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this highly collaborative role, your work will be responsible for developing multi-scale models, spanning from the atomistic to the meso-scale, and performing the simulations that will feed into the model
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and biomanufacturing challenges, mentor students, collaborate across disciplines, and help translate transformative research into real-world impact. Required Education: PhD in Chemical Engineering or
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor