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Dragon Gold Japan China Double Layer Reverse/Inverted Umbrellas

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Dragon Gold Japan China Double Layer Reverse/Inverted Umbrellas

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Product description

WaKaBlues Double Layer Reverse/Inverted Umbrellas for Car Rain Outdoor Windproof UV Protection Big Straight Umbrella C-Shaped Handle
Inverted design:the surface of the umbrella cloth wet will cleverly folded.so it won't get wet when you get in or out of the car;
Easy to storage:it can stand up on its own,ideal for when you have nowhere to prop your umbrella up against.it will also keep the wet part of the umbrella inside once you've closed it,so things don't get dripped on when you put it away after coming indoors;
Anti-ultraviolet:upfgt;50+ sunscreen fabric production,double layer protection,light transmittance is "0";
Durable windproof:the double layer inverted umbrella made of pongee cloth,durable black electric ribs and double layer ribs make the cars umbrella more sturdy,enhance its windproof effecthandsamp;drip free:great for phone user and mothers,cross the c-shape handle over your arm,made you hands free for holding a baby,bag or mobile if needed;
Creative investing design,inside-out design prevents water from dripping,keeping floors and cars dry.

Dragon Gold Japan China Double Layer Reverse/Inverted Umbrellas

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