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Laundry Hamper Foldable Laundry Baskets Clothes Bags With 2 Hand

$14

Laundry Hamper Foldable Laundry Baskets Clothes Bags With 2 Hand

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Product description

Color:005

Our laundry basket is definitely a good helper for your home storage!

It is made of Oxford cloth material, which is comfortable and breathable, and is not easy to mold;

Built-in waterproof coating, waterproof and moisture-proof without peculiar smell;

Intimate hand straps on both sides, convenient to carry, firm and not falling;

Increase the capacity, easily fit all kinds of clothes and sundries;

The foldable barrel does not take up space and is light and easy to carry.

The dust-proof beam port design on the top makes it easy to pull and save effort. Clothes, toys and other items will not fall out for a long time.

Not only that

It also has a wide range of uses. It can easily fold the laundry basket when not in use, saving space. It is very suitable for university dormitories, camping cars, apartments, hotels, baby rooms and utility rooms, and can accommodate changes of clothes, children's toys, snacks and sundries.

Tips

There may be slight errors in the size and color of this product, which is a normal site. If you have any other questions, please feel free to consult. We will reply to you within 24 hours.

Laundry Hamper Foldable Laundry Baskets Clothes Bags With 2 Hand

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