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YAliDA Owls Pattern Shower Curtain Sets with Rugs, Waterproof Fa

$25

YAliDA Owls Pattern Shower Curtain Sets with Rugs, Waterproof Fa

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Product description

HEOEH Cute Shower Curtain, Modern, color design, looks simple and stylish.
Your home will be clean and fresh with this waterproof shower curtain set.

Marterial and Size:
Shower Curtain: Polyester pongee, 70.8 x 70.8 in
Rugs: 100% Polyester, 19.6 x 31.4 in
Weight: 480g

Function:
-Waterproof, skid resistance
-Equipped with 12 hooks for easy installation with minimal effort
-Easy to clean, machine washable, wash cold by gentle cycle, mild detergent needs to be used, do not bleach.

YAliDA Owls Pattern Shower Curtain Sets with Rugs, Waterproof Fa

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