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Inditex and MIT research data analysis and sustainability

2019-03-19 17:57:00| Daily apparel & textile news and comment - from just-style.com

Inditex, owner of Zara and Pull & Bear brands, is to contribute over US$4m to multi-year projects with the Massachusetts Institute of Technology (MIT), which will research global sustainability initiatives and data analysis applications for the textile industry.

Tags: data research mit analysis

Internship Code Development and Data Analysis for Project Management Systems

2018-09-12 10:27:08| Space-careers.com Jobs RSS

Where others see barriers, we see opportunities. Do you enjoy supporting customers realizing breakthrough value? Do you stay attuned to your customers needs and visions? Do you like to work openly and supportively together with your colleagues and customers? Our work involves many different minds and skills, it cant be done alone. Its a great time being SES. SES is the worldleading satellite operator providing endtoend communication solutions. SES leads across new technologies in video, enterprise, mobility and government We are a team of people coming from all across the globe who work together to make a real difference in the world. We help to bridge the digital divide by connecting millions of people on the African continent. We make it possible for people to stay connected while flying 10km up on a commercial airplane. We provide extensive satellite coverage of all of the worlds seas and ocean regions via our dedicated mobility beams We distribute 7,400 channels to more than 1 billion people in 317 million homes. We work together with our partners to develop new standards that transform how people consume and enjoy entertainment. Internship Code Development and Data Analysis for Project Management Systems Luxembourg Betzdorf Located in Luxembourg Betzdorf 4 6month internship, starting asap SES Techcom Services is a Luxembourgbased subsidiary of SES. Leveraging on the technical expertise accumulated within the SES group. It provides technical services to broadcast, telecom, corporate and government customers worldwide. This is an exciting opportunity to become part of the SES TechCom Product Development Engineering team in a fastpaced, growing organization within a dynamic industry. Based in Luxembourg, you will contribute to the following activity. Responsibilities Maintain the code and add functionality to TechComs internal webapplications for project resource MPROP and contract CDB management. This includes the implementation, verification and deployment of new processes and workflows as well as the trend analysis of MPROP data. Experience Qualifications Strong interest in resource management and project management systems interest in data analysis and trending would be an asset Advanced ICT knowledge with tangible experience in Linux, SQL and Java. Knowledge of RedHat JBoss, or javascript would be an asset Excellent analytical and judgment skills Ability to set priorities and to work under tight deadlines Work independently as well as in a team Easiness to communicate at all levels Fluency in spoken and written English with additional languages considered an asset. EU25 nationality or work permit We offer you A diverse workplace. For SES, diversity is more than a question of gender or race we welcome different minds and different skills. An exciting experience in a fast moving and fascinating industry. Our technology is launching into space on the next generation of rockets. The internship is remunerated. SES provides excellent sport facilities and a canteen on site. SES is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Apply HERE

Tags: data code development management

Book review Data analysis for scientists and engineers

2017-12-01 13:15:10| Oil IT Journal - www.oilit.com

Edward Robinson's text book targets principally the mathematical. But there is enough narrative to intrigue the philosophically-inclined, with an intricate discussion on frequentist vs. Bayesian reasoning. But the trendy field of 'data science' is conspicuously absent.

Tags: data review book analysis