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environments Preferred Qualifications More than 5 years of experience in process simulation, LCA, and LCC analyses (including PhD, postdoctoral, or industrial research experience) Demonstrated experience in
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in material characterization using large instruments (Neutron Diffraction and Synchrotron) combined with computational modelling and DFT simulations (including PhD, postdoctoral, or industrial research
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applied mathematics, enhancing the UM6P academic curriculum. Mentor graduate students and postdoctoral researchers, contributing to a vibrant academic community. Secure research funding through grants and
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proven experience in the subject discipline Relevant experience in the subject discipline as a faculty member, postdoctoral researcher or in industry would be an asset Established track record in R&D
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., PharmD or equivalent in biology, biomedical sciences, or a related field. Postdoctoral research experience and a strong publication record. Commitment to excellence in teaching and mentoring undergraduate
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sciences, or a related field. Postdoctoral research experience and a strong publication record. Commitment to excellence in teaching and mentoring undergraduate, graduate, and/or medical students. Potential
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of the candidate: Scientist PhD degree in the mentioned areas of research or other related fields from a recognized University; At least two years of postdoctoral research experience or industrial experience; High
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Composite Materials, Surface Science, and Sustainable Materials and Re-cycling. Description of the position and duties: MSN-UM6P is currently accepting applications for a postdoctoral position in the
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Critical Zone Science Chair. Criteria of the candidate: PhD in environmental science, soil science, surface geochemistry, or related fields from a recognized university. At least 2 years of postdoctoral
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postdoctoral research experience in environmental sciences within the above-mentioned subjects, preferably with international experience. High publication record in international well-ranked journals (at least