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Cheap bargain menolana Puzzle Roll Up Mat Blank Jigsaw Detroit Mall Storage Felt Pad

menolana Puzzle Roll Up Mat Felt Jigsaw Puzzle Storage Pad Blank

$11

menolana Puzzle Roll Up Mat Felt Jigsaw Puzzle Storage Pad Blank

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Product description

Size:others  |  Color:Black

Description:

LARGE- Measuring 80x118cm and holding up to 2000 pieces.
EASY CATEGORIZATION: The felt is in different areas and makes it easy for you to distinguish between the colorful puzzles.
EASY TO USE:Just spread the mat on a level surface and you can start the jigsaw puzzle. If you want to pause and save the unfinished puzzle, place the inflatable tube on both ends of the mat, roll up the mat with even pressure, and then fix the ends with elastic bands.
PACKAGE CONTENTS : felt mat x 1, elastic band x 3, Inflator x 1,storage bag x 1
EASY TO CARRY AND SAVE SPACE: Roll Up Mat and Environmentally Friendly Materials Felt Cloth.

Specification:

Size: 80x118cm/31.50x46.46inch.

Package Includes:

1 Piece Felt Mat

3 Pieces Elastic Band

1 Piece Inflator

1 Piece Storage Bag

menolana Puzzle Roll Up Mat Felt Jigsaw Puzzle Storage Pad Blank

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