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INT-27050- SUSTAINABLE BIO-BASED PLASMA COATINGS ON NATURE-INSPIRED MICRO- TO NANOSTRUCTURED SURF...
Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months agodata. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content INT-27050- SUSTAINABLE BIO-BASED PLASMA COATINGS ON NATURE
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chance to obtain further academic qualification (usually PhD / habilitation thesis). Tasks: Programmable optical diffractive neural networks are inspired by the principles of biological neural networks
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pioneered investigations on particle bio-functionalization, particles uptake, accumulation, translocation across biological barriers and their bio-responses. With this we provide key contributions to
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multidisciplinary areas of bio-based composites, fibre reinforced thermoplastics, acoustic engineering, machine learning, and injection moulding process optimisation together with world leading research
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, the research aims to identify strategies that enhance both sustainability and cost-effectiveness. The outcomes will inform the design of robust, low-carbon bio-based supply chains that support the
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contribute to pioneering research at the interface of materials science, biotechnology, and additive manufacturing. As a PhD student, you will investigate fungal-bacterial interactions, develop living bio
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passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio)catalysts and drugs? We are offering three fully
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. You have strong critical thinking and problem-solving skills, and you bring: An MSc degree in (bio)physics, (bio)chemistry, or a related field; Experience with wet lab work and data analysis; Strong
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interface between quantum and classical physics as well as between quantum and bio-molecular science. We develop universal matter-wave interferometry in the limit of high mass and high complexity, from
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collaborative postdoctoral scientist with a strong biological background to lead experimental work at the nano–bio interface. The ideal candidate brings a track record evidenced by a solid publication