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Product description

Color:multi 5

Features
▶Material: Well made of environmentally friendly Polyester fabric with zippers puller pulls.
▶Lightweight and Durable: Lightweight and leak-proof, heavy-duty, and easy to clean.
▶Carry-on Size Stay Organized: travel bag measure is 7.3 x 3 x 5.1 inches, convenient to carry on when you are traveling or go out.
▶Enough Capacity: Support to hold your makeups, towel, toothbrush, toothpaste, and another small thing. It can contain kinds of things that you need in travel or business.
▶Widely Use: This pouch is designed for most people to use, kids, boys, girls, teens, students, men, women. You can carry it to outdoor sporty use, school, travel trip, office, spend weekend trip at outdoor, go to a sketch of nature, or any other casual occasion.
▶This toiletry bag is perfect as a gift for friends, sisters, loved ones, or even as a treat for yourself. Ideal organizer for travel amp; home use of cosmetics, medicine, toiletries, or any small things.Also best for birthday gifts, Thanksgiving gifts, Christmas gifts, holiday gifts, eco-friendly gifts.

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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