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Azeeda Challenge the lowest price 6 x 'Vampire in Coffin' Stickers SK00027479 Clear Brand new

Azeeda 6 x 'Vampire in Coffin' Clear Stickers (SK00027479)

$5

Azeeda 6 x 'Vampire in Coffin' Clear Stickers (SK00027479)

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Product description

Material Type:6 x Transparent Stickers

This set of 6 clear stickers are printed with a fantastic design by one of our talented designers. These stickers are almost completely transparent and are great for decorating and personalising belongings.

Size:

Width: 99mm
Height: 93mm

This pack contains 1 sheet of 6 stickers, all featuring the same design with a gloss finish. We recommend attaching these stickers to light coloured surfaces, attaching to dark surfaces will make the design difficult to see. Carefully peel stickers from the sheet, making as little contact as possible with the adhesive back, as finger prints and dirt may show through once attached to a surface.

Azeeda 6 x 'Vampire in Coffin' Clear Stickers (SK00027479)

Jason McEwen

Professor of Astrostatistics

University College London

I am a Professor of Astrostatistics and Astroinformatics at the Mullard Space Science Laboratory (MSSL) at University College London (UCL) and a Turing Fellow at the Alan Turing Institute, the UK’s national centre for data science and artificial intelligence (AI).

My research interests encompass a wide range of areas within astroinformatics and astrostatistics, including Bayesian inference, harmonic analysis, optimisation, and machine learning and artificial intelligence, with a focus on application to cosmology and radio interferometry.

I am also Founder and CEO of Kagenova, a startup company developing deep tech for virtual reality and beyond.

I am Director of Research (Astrophysics) of UCL’s Centre for Doctoral Training (CDT) in Data Intensive Science. I am a Core Team member of the ESA Planck satellite mission, a member of the Square Kilometre Array (SKA) Science Data Processor (SDP) working group, a member of the ESA Euclid satellite Science Consortium, and a member of the Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC) and Informatics and Statistics Science Collaboration (ISSC).

Previously I was a Royal Society Newton Fellow and before that a Leverhulme Early Career Fellow at UCL. Prior to that I was a Scientist in the Electrical Engineering Institute at Ecole Polytechnique Federale de Lausanne (EPFL) and a Research Fellow of Clare College, Cambridge, after receiving a PhD in Astrophysics from the University of Cambridge.

Interests

  • Astrostatistics
  • Astroinformatics
  • Bayesian inference
  • Harmonic analysis
  • Optimisation
  • Machine Learning and Artificial Intelligence