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DISCnet Cohort 2022

Our students are exceptional problem solvers and highly-skilled data specialists.

From their PhD research they bring extensive experience of handling intensive tasks and managing complex data sets and problems to industry placements.

Meet The Students

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James Donnellan

University of Sussex

A complete history of star formation with Webb, Herschel and other world-leading observatories

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Ruby Pearce-Casey

The Open University

Hunting for Rare Treasure with Machine Learning: Gravitational Lensing and Glitches in the Euclid space telescope and Vera Rubin Observatory

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Caley Yardley

University of Sussex

Searching for new physics with measurements of Top+X processes and effective field theory interpretations using the ATLAS experiment at the LHC

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Harry Ballington

University of Hertfordshire 

Impacts of Optical Particle Characteristics on Aerosol-Cloud Microphysics and Links to Aerosol/Air Quality Distributions

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University of Sussex

Galaxy clustering for two of the 4MOST (4-metre Multi-Object Spectroscopic Telescope) extragalactic surveys: CRS and WAVES.

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Brian Bichang'a

University of Hertfordshire

Astronomy, AGN in Dwarf Galaxies

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Sophie Butchart

University of Sussex

Supernova detection in DUNE and outreach

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Jones Chilufya

University of Hertfordshire 

Astronomy: LOFAR studies of radio-loud AGN

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Daniel Gillies

University of Sussex

Theory and phenomenology of hadronic jets in the Standard Model and beyond

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Akeem Hart

Queen Mary University London

DUNE and MINERvA neutrino experiments

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Maxwell Maltz

University of Sussex

Combining zoom simulations and machine learning to generate high-redshift mock galaxy catalogues.

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Shravya Shenoy

University of Hertfordshire

Science with the WEAVE-LOFAR survey

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Jack Turner

University of Sussex

The colour evolution of the first galaxies

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Jessica Lock

University of Sussex

Opaque scintillator detector development and NOvA neutrino experiment analysis

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DISCnet is the Data Intensive Science Centre in SEPnet, and an STFC Centre for Doctoral Training;  

a collaboration between the University of Sussex, Queen Mary University of London, and The Open University

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