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F Fityle 12 Ranking TOP18 Inch Vintage Japanese Samurai Doll Fashionable Geisha Ori Kimono

F Fityle 12 Inch Vintage Japanese Samurai Doll Geisha Kimono Ori

$12

F Fityle 12 Inch Vintage Japanese Samurai Doll Geisha Kimono Ori

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Product description

We sell product with good quality and price. We attach great importance to each feedback from customers. Welcome to pick and buy in our store.


Description:

- Exquisite workmanship; beautiful design; vintage style
- The doll has delicate face, wearing handmade Kimono style dark blue clothes
- Perfect item for adults crafts, collectibles, friends or children birthday gift or festival gift
- Also for home decoration and desk ornaments
- Material: Cloth,Foam ,Gypsum Powder
- The body was made of foam and the head was made of gypsum powder.

Size Chart:

Doll Total Height:Approx. 30cm / 11.81inch
Doll Shoulder Width:Approx. 12cm / 4.72inch
Bottom Base Size(L x W): Approx. 12 x 12cm / 4.72 x 4.72 inch

Package Includes:

1 Piece Doll

Note:

Please kindly allow 1-4mm differences in size for the manual measurement.
Please kindly understand that the item's color may be slightly different from the pictures for the light and screen difference.

F Fityle 12 Inch Vintage Japanese Samurai Doll Geisha Kimono Ori

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