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materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation
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enthusiastic approach to science. Further, the applicant is expected to have strong background knowledge of the physiology of primary sensory afferents and peripheral mechanisms of nociception. The applicant
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materials, with a focus on lattice-dynamical free energies, temperature-dependent vibrational properties, and magnon–phonon interactions using quantum mechanical methods. As postdoc, you will principally
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properties, and magnon–phonon interactions using quantum mechanical methods. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20