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Almencla 10PCS Handy Mist Mister Eyelash Weekly update Moisturizing 5% OFF Exten

Almencla 10PCS Handy Mist Mister Moisturizing Mist Eyelash Exten

$25

Almencla 10PCS Handy Mist Mister Moisturizing Mist Eyelash Exten

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Product description

Description:

- -atomization Penetration : Through fine mist, water penetrates deeper layers of the skin, making it easier to absorb, sun skin repair, relieve for allergic skin, dry skin replenishment, adjust water and oil balance of the skin, cooling and sucking the pores after the closure of pores.
- USB Rechargeable & : USB charging, water tank capacity of 25 ml, continuous hydration. It can be used as a mobile power source to charge mobile phones.
- -expansion-specific eyelash extension: helps the eyelash extension adhesive cure faster, won’t ruin your makeup or affect eyes. Perfect for care of face, body, hair and other position. Suitable for all kinds of skin.
- Deep moisturizing: Atomization allows moisture to penetrate deep skin for cleansing. It can restore deep moisturization of the skin, restore elasticity, reduce pores, regenerate, improve skin, eliminate and , improve dark circles and restore youthful vitality.
- Portable and Easy Use: Designed as a mini size for your handbag or . Simply slide the cover gently out of the way to release a refreshing mist in just moments. Great to have a quick skin rejuvenation in the office, on flights, outdoor, at home, in the car, etc. Moisturize your skin anytime and anywhere.

Specification:

- Water Tank Capacity: 25ml
- Charge Mode: USB
- Fog time: 10 seconds
- Atomization volume: 1.2-1.8ml / min
- 20 minutes of continuous hydration.
- Material: Plastic
- Size: 12x3cm / 4.72x1.18inch

Package Includes:

10 Pieces Moisture Sprayer
10 Pieces Charging Cable

Note:

Almencla 10PCS Handy Mist Mister Moisturizing Mist Eyelash Exten

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