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We have 25 Computational Chemistry (innovation research) PhD Projects, Programmes & Scholarships

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Computational Chemistry (innovation research) PhD Projects, Programmes & Scholarships

We have 25 Computational Chemistry (innovation research) PhD Projects, Programmes & Scholarships

Accelerated Inorganic Materials Discovery Driven by Magnetic Resonance

This studentship will explore experimental and computational Nuclear Magnetic Resonance (NMR) spectroscopy approaches to probe the fast oxide ion transport (e.g., self-diffusion coefficients, diffusion pathways, dimensionality of motion) of oxide in inorganic materials aimed at establishing design rules for the discovery of next generation fast conductors. Read more

Discover doctoral opportunities at the Information School

The Information School. A long established and highly respected department, the Information School is the number one department of its kind in Europe, and second in the world according to the QS World University Rankings by Subject 2019. Read more

Fully-funded PhD Positions in the Life Sciences/Molecular Biosciences

30 Fully-funded PhD Positions in the Life Sciences/Molecular Biosciences. Empowering Curious Researchers at the Vienna BioCenter PhD Program. Read more

Rational design of photo/electrocatalysts towards Green Nitrogen Fixation and Ammonia Production

In an era marked by the urgent need for sustainable solutions, this project stands at the forefront of innovation in catalysis, focusing on the rational design of photo/electrocatalysts for nitrogen fixation and ammonia production. Read more

Rational design of photo/electrocatalysts towards Green Nitrogen Fixation and Ammonia Production

In an era marked by the urgent need for sustainable solutions, this project stands at the forefront of innovation in catalysis, focusing on the rational design of photo/electrocatalysts for nitrogen fixation and ammonia production. Read more

High-throughput first-principle simulations of charge transport in organic semiconductors

This project focuses on application of first-principle, fully quantum simulation methods such as Hybrid Monte-Carlo to study charge transport in a vast class of quasi-2D molecular organic semiconductors (rubrene, pentacene, and >4000 other materials). Read more

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