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Computational Chemistry (atmospheric) PhD Projects, Programs & Scholarships

We have 6 Computational Chemistry (atmospheric) PhD Projects, Programs & Scholarships

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  Velocity Map Imaging Study of Atmospherically Relevant Gas Liquid Reactions
  Dr SJ Greaves
Application Deadline: 28 February 2020

Funding Type

PhD Type

You will use state-of-the-art experimental and theoretical methods to study the dynamics of atmospherically relevant reactions that occur at the gas-liquid interface.
  Emerging application of gas plasma technologies
  Dr F Iza
Applications accepted all year round

Funding Type

PhD Type

Gas plasmas generate reactive environments at low temperature that can trigger chemical and bio-chemical processes that are hard to initiate by other means.
  Computational design of metal-organic framework photocatalysts for solar fuel synthesis
  Dr R Grau-Crespo
Applications accepted all year round

Funding Type

PhD Type

"Metal-organic frameworks (MOFs) are porous crystalline materials consisting of metal atoms or clusters connected by organic linkers.
  Computational modelling of intrinsically disordered proteins
  Dr D Nutt
Applications accepted all year round

Funding Type

PhD Type

"Not all proteins fold into well-defined structures. These intrinsically-disordered proteins (IDPs) perform a wide variety of roles and functions within living organisms, for which their disorder is key, from binding to biomineral surfaces for controlling growth and morphology, to protecting plants against drought.
  Electronic Structures of Substituted Osmanaphthalynes and Related Metallacycles in Donor-Bridge-Acceptor Systems
  Prof F Hartl
Applications accepted all year round

Funding Type

PhD Type

Chemistry of transition metal-containing aromatics has attracted considerable attention both experimentally and theoretically.
  Studying phase transitions by computer simulation techniques
  Dr L Bartok-Partay
Applications accepted all year round

Funding Type

PhD Type

Computer simulation on the atomistic level became a powerful tool in modern chemistry in the past decades. Computational techniques are widely used to augment experiments and make initial predictions, thus saving time and money by reducing the amount of experimental work.
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