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PancakeSwap Christmas Wall Sticker Living Room Xmas Santa Claus

$23

PancakeSwap Christmas Wall Sticker Living Room Xmas Santa Claus

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Product description

Christmas Wall Sticker Living Room Xmas Santa Claus Snowman Elk Stickers Window Showcase Glass Decor Poster Decorative Films
Description

Non-toxic, protection, waterproof

Easy to apply, delete, move and reuse without leaving damage or residue.

Can be applied to any dry smooth dust free surface, such as glass door, window pane, ceramic tiles in kitchen or bathroom, glasses, home appliance, air-condition, and car body

A beautiful wall art wall decal for your home or office will give your room a refreshing look, creating a magical atmosphere; it will be a great touch to your decor; a bit of fun to your bathroom your life.

How to use:

Choose a smooth, clean and dry surface. Peel the stickers from the sheet one by one

Some of the larger pattern paste may have a little bubble appears, then you can scratch with a scraping card to remove the bubble, will not affect the overall effect

If you put it on the wrong place, you can use a small blade will be a corner of the wall gently lift off the tear, re-paste can be, the product under normal circumstances can be reused, as long as not torn

If the result is satisfactory for you, stick firmly to the surface pressing the air bubbles outwards

DIY series you can play unlimited creativity, free combination of modeling and location

Item specifics:

Item Type:windows stickers

Condition:100%brand new

Client received panel image Size:
Approx.60*90cm

The effects size after pasting Size:Approx.138*8cm

Package Included
1pcs*
Window Sticker

PancakeSwap Christmas Wall Sticker Living Room Xmas Santa Claus

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