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doctoral programme subject area Medical Science – Dermatology within the doctoral project “Peptidomics of Wound Fluid Guides the Discovery of Endogenous Peptides.” The position is based at the Faculty
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nanozymes, and optimize their physicochemical and catalytic properties. Develop functional implant coatings: Establish reproducible strategies for integrating nanozymes onto implant surfaces and investigate
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researchers with cutting-edge expertise in combustion science, chemical kinetics, fluid dynamics, and digital modeling, preparing them to revolutionize industrial energy systems and accelerate Europe’s energy
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. PhD Position on Nanozyme-based coating for antimicrobial implants Your tasks Design and synthesize nanozymes: Develop nanozymes, and optimize their physicochemical and catalytic properties. Develop
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, by that enabling improved control and optimization. Stall detection will be a natural part. The PhD project is internally financed but will be associated to two large research programmes at NTNU and
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. The Department of Clinical Sciences Lund is now announcing a PhD position within the doctoral programme subject area Medical Science – Dermatology within the doctoral project “Peptidomics of Wound Fluid Guides
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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perfusion and mechanical stimulation in tumor tissues to investigate their poromechanical properties and optimize molecular transport within explants. The successful candidate will be involved in: - Designing
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
and is limited to three years. Understanding how solids form from fluids is one of the most fundamental questions in the physical sciences. Solid assembly is pivotal to both natural and industrial
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily