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computational efficiency of large-scale simulations. The Chair of Computational Methods in Civil and Environmental Engineering at the Technical University of Munich (TUM) invites applications for Doctoral
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of computational tools for process monitoring and predictive analysis Candidate Criteria Applicants should have: A PhD in Process Engineering, Chemical Engineering, or a closely related field Strong expertise in
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in chemical engineering, chemistry, mechanical engineering, civil
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of the position is to advance the theoretical and computational mechanics of soft solids under coupled physical environments. The position is situated within a sponsored research program on the finite-deformation
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through genome research. We function as a virtual institute to unite genome scientists with researchers in the field of genomics technology and bioinformatics science. The work we do will shape the future
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structures and concrete material - and a genuinely collaborative and supportive environment in which to develop as a researcher. Job requirements Need-to-haves: You hold a PhD degree in Civil Engineering
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to co-supervise a PhD student working in this project. We are looking for candidates who have: a completed PhD degree in physics, electrical engineering or similar field, excellent experience and
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requirements: PhD obtained less than seven years ago in Chemistry, Materials Science/Engineering, Chemical or Biomedical Engineering, Biotechnology, or a related field. Proven experience in electroanalysis and
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Technology, and partners in Italy, Cyprus and Switzerland. CIRCULARIS develops a harmonised circular economy (CE) indicator framework for food services and tests it through pilots with restaurants, hotels and
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Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Certifications/Licenses Required Knowledge