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Mascir - Postdoc position in chemistry of functional materials About UM6P : Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position
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We are in search of a highly qualified researcher for one postdoctoral research opening in our team. Please see the information below: Postdoctoral Fellowship in Organic Chemistry Duration: 12
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significantly to the preservation of the function and protection of the ocean for future generations. GEOMAR Research Unit Marine Natural Products Chemistry / GEOMAR Centre for Marine Biotechnology is seeking
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Postdoc for the synthesis of MOFs from inorganic by-products for different applications in catalysis
from an inorganic matrix by-product and subsequently use it in the synthesis of MOFs. The materials synthesis will involve the use of wet chemistry and other known solid-sate methods, then characterized
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Background. The exploration of applications involving the spin degree of freedom in spin-bearing polymers benefits from the optimization of chemistry, low-temperature spin properties, and packaging
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transport properties both in the bulk and across interfaces. Develop novel electrolyte chemistries aimed at directing interphase generation at both anode and cathode interfaces to improve battery performance
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to minimize heat loss and maximize energy storage efficiency, considering both sensible, latent, and thermochemical energy storage methods. Explore novel materials and chemistries for thermal energy storage
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Ref. Number: 8986 (*gn=gender neutral) The Institute of Physiological Chemistry & Pathobiochemistry of the University of Münster offers a position with the possibility to do a doctorate, initially
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system and its repurposing into a tool for genome editing, a method developed at Umeå University that was awarded the 2020 Nobel Prize in Chemistry. The host lab is located within the cross-disciplinary
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Postdoctoral positions in biology are available in the Zhi Tan laboratory at Baylor College of Medicine (Houston, TX), an interdisciplinary group using deep learning, computational chemistry