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Comexi smart glasses help reduce machine downtime

2019-07-09 16:33:00| Label and Narrow Web Breaking News

This communication system allows for information sharing between field technicians and the support department in real time and vision.

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Junior Data Scientist Machine Learning Engineer 191039

2019-07-04 12:30:13| Space-careers.com Jobs RSS

Junior Data Scientist Machine Learning Engineer 191039 Job Description We are looking for a Junior Data Scientist Machine Learning Engineer to join the Software Engineering Team in our offices in Darmstadt, Germany. Solenix is an independent and international company providing highquality software engineering, consultancy services and software products in the space market. Among our customers are space agencies like ESA and EUMETSAT. Our Software Engineering Team is specialised in the development and maintenance of web and mobile solutions and datadriven systems, including dashboards and visualisation tools, data analytics, event monitoring and alarming platforms. Our team is a group of motivated, dynamic and creative people who enjoy highquality work, as well as a relaxed and flexible atmosphere. You will be involved in all phases of the project lifecycle, from conception to implementation and final delivery, with a focus on Data Science aspects. This role has a lot of potential for career development depending on your skills and interests, for example, growing involvement in other company activities, such as supporting our business development activities with your technical expertise or contributing to the definition and evolution of our software products. Your main tasks will be related to Preparation of structured and unstructured data Feature selection, extraction and transformation and data analysis Use case analysis and prototyping Design and implementation of models and algorithms in the field of data analytics, including visualisation and reporting of results Integration and maintenance of developed solutions Required Skills and Experience University degree in a related field computer science, mathematics, physics or related Good knowledge of an objectoriented programming language, preferably Python or Java Experience with machine learning librariesframeworks and methods Experience in databases SQLNoSQL and in related technologies such as Spark and Hadoop Experience with data visualisation solutions such as D3.js, Plotly, etc. Strong analytical skills, curiosity and pragmatism Initiative and able to work independently and prioritise work appropriately Able to work in a collaborative and team environment Desirable Skills and Experience Experience with containerisation technologies Experience working in a continuous development continuous integration environment Employment This position is open to parttime and fulltime employment, as well as being suitable for working students. Work Location Darmstadt, Germany Dates Application Deadline 31 August 2019 Start of Work as soon as possible Important Notes Before applying to this position, please read the page Notes to Applicants on the Solenix website under Career. Applicants must be EU citizens or have a valid work and residence permit in Germany. Security, identity and reference checks on the candidates are part of the recruitment process. Job Application Please send your applications electronically to careersolenix.ch before the application deadline 31 August 2019 Learn more about us in Facebook

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FLEXcon adds narrow web embossing machine

2019-06-27 19:29:00| Label and Narrow Web Breaking News

The supplier will utilize the equipment in prototyping new micro-embossed film structures.

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Genesus Global Technical Report: Big data and machine learning in animal breeding

2019-06-18 17:10:00| ThePigSite - Industry News

Machine learning (ML) has been a buzz word for the past few years. ML is a subfield of artificial intelligence (AI) dedicated to the study of algorithms to predict outcomes.

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Diaper Recycling Technology Commissions Factory Waste Recycling Machine

2019-06-13 19:47:00| Nonwovens Industry Breaking News

Newly developed technology passes factory accept tests and ships in June

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