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construction materials? And collaborate within an international consortium of architects, materials and textiles scientists, and engineers to help translate bio-inspired knowledge to the development of modular
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/postdoctoral-researcher-in-oper… Requirements Specific Requirements Motivated researcher with a PhD degree in Operations Research, (Applied) Mathematics, Industrial Engineering, or related field. A strong
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candidate must have as well a multidisciplinary scientific profile: PhD degree in materials science, chemical engineering, chemical Processes or another suitable engineering discipline. Knowledge about
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migration), economy (e.g., trade, businesses and resource flows), technology (e.g., infrastructure mapping, urban plans/construction), as well as potential sources of risks and benefits, including pollution
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to platform development for metabolic engineering What you bring to the table PhD in biotechnology, microbiology, molecular biology, or a related field Experience working with strict anaerobes, ideally with
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for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions
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methodologies involved in the project (OCT-A, structural MRI, fMRI, dMRI, ASL). For a competitive application at the post-doctoral level, candidates should demonstrate experience in leading imaging studies, as
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that the coatings maintain their structural integrity during industrial-scale operations. Key research areas include: Developing novel polymer- or nanomaterial-based shells to coat the LFP particles Enhancing
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods