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projects funded by Danish and EU research councils, as well as by private foundations and companies. In addition, the department is responsible for teaching at the undergraduate, graduate, and PhD levels
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 30 days ago
engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 7 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not
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strong asset. Qualifications: A PhD or equivalent qualification in a relevant field, such as marketing, consumer behavior, psychology, behavioral economics, sustainability science, or related social
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: Until Filled Deadline: Job Description: One postdoctoral position in MOFs and their composite materials, derived from inorganic by-products and other sustainable precursors, is available at CBS.GPE
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approaches include, but are not limited to, monitoring microbial community dynamics upon perturbations using tools of molecular ecology, as well as tracking the composition and metabolic and physiological
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for the position. The interested candidate should have a PhD with scientific training in chemistry or materials science. Expertise in one or several of the following skills are considered assets: confocal microscopy
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should possess: • A PhD/DPhil (or near completion) in Engineering, Materials Science, Physics, or a related field • Strong expertise in composite materials, their deformation and failure, and finite
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of Materials and Manufacture , Department of Department of Mechanical Engineering , focused on innovative research in metal additive manufacturing. About us At the Department of Mechanical Engineering , we unite
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for catalysis. The job vacancy involves designing, synthesizing, and characterizing highly catalytic active MOF composites for photocatalytic CO2 conversion and water splitting. Materials synthesis will involve
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling