#стажировка #европа #3500eur #лето #computerscience. Открылся прием заявок на летную стажировку CERN. Помогают с визой и перелетами. Deadline 31 January 2024. Подавать здесь https://careers.cern/summer и тут https://home.cern/summer-student-programme. @devs_kz

#shopify #intern
Join Our Team as a Shopify Intern!

Llama Commerce on the lookout for talented individuals with experience in JavaScript, HTML, and CSS who are eager to dive into the dynamic world of Shopify.

Who we are:
Llama Commerce is a software development company that specializes in custom solutions for e-commerce businesses. To learn more, visit our LinkedIn page: Llama Commerce LinkedIn

Requirements:
Proficiency in JavaScript, HTML, and CSS
Enthusiasm to learn and develop skills in the Shopify platform
Strong communication skills
Excellent command of the English language

What You'll Learn:
In-depth understanding of Shopify's architecture and functionality
Practical experience in customizing and developing Shopify themes
Integration of third-party apps and tools to enhance e-commerce capabilities
Collaboration with a diverse team of experts in the field

How to Apply:
Send your resume and a brief cover letter highlighting your experience and motivation to jobs@llamacommerce.io.
Attach your portfolio and resume to your letter

LinkedIn: Llama Commerce LinkedIn
Telegram Account: @llamacommerce



👉 Подписаться на канал @UzDev_Jobs

Btc

Project 1: AlMasjid.uz - Mosque Locator and Prayer Time App

AlMasjid.uz is an open-source project designed to assist users in finding mosques (masjids) and accessing their prayer timetables based on their geographical location. This application aims to make it convenient for individuals to locate nearby mosques, obtain accurate prayer times, and navigate to the chosen masjid using an integrated map feature.

Project 2: Pitsa.uz - Fast Food Explorer and Rating App

Pitsa.uz is an open-source project designed to help users discover the best fast food options in Tashkent, providing comprehensive information and user ratings to facilitate informed decision-making. This application aims to simplify the process of choosing the ideal fast food establishment based on user preferences and location.

If you want to work on these projects, please register :
https://forms.gle/NnPfVxvjjkEm3b5SA

Stacks: C# .net core for backend, angular or vuejs (HTML CSS JS ) for Frontend

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