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BCDALN Home OFFicial site Decorative Rugs Cartoon Carpet Style C OFFicial shop Baby Children

BCDALN Home Decorative Rugs Cartoon Style Carpet Children Baby C

$69

BCDALN Home Decorative Rugs Cartoon Style Carpet Children Baby C

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Product description

Color:B  |  Size:120cm*180cm

Welcome to my shop, we have many styles, colors for you to choose, Good quality and low price, every guest will envy your home because of the bright colors on the carpet.Product name: Cartoon carpetSize: 60cm*90cm, 80cm*120cm, 120cm*180cm, 140cm*200cm.Product material: Crystal velvetMain component of fabric: Polyester fiber (polyester)Product pattern: Cartoon/AnimeProcess: Machine weavingStyle: Cartoon styleProduct color: as shownProduct shape: rectangleProduct Features: Soft and delicate, high-quality fabrics, glued non-slip bottom, practical and versatile, easy to take care of.Product usage: living room, bedroom, study room, outdoor, dining room, bathroom, balcony, children's room, commercial places, etc.Washing: Washable, machine washable, vacuum cleaner available.Tips:Due to the different lighting and display equipment, there will be slight chromatic aberration, and the color is subject to the actual object. The product is hand-cut and stitched, and there may be an error of about 3cm. Note: In order to facilitate logistics and transportation, the mat will be folded during transportation, and there may be creases on the mat when it arrives, Leave it for 3-5 hours, the crease will disappear without affecting the use, please rest assured to buy!One Room, One Blanket, One Life~

BCDALN Home Decorative Rugs Cartoon Style Carpet Children Baby C

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