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AHFE Data Quality Plan
2018-11-19 22:37:49| PortlandOnline
Moved to Multnomah County Resources
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data quality
PHB Data Window Q1 2018-2019 (PDF)
2018-11-16 19:55:54| PortlandOnline
PDF Document, 146kbCategory: PHB Data Window
JCS Data Processing Engineer
2018-11-16 15:30:26| Space-careers.com Jobs RSS
Solenix is specialized in the provision of highquality software engineering, technical consulting and operations services in the aerospace domain. This vacancy note concerns an onsite consulting position at EUMETSAT in Darmstadt, Germany. JCS Data Processing Engineer 1813051 Job Description We are looking for an experienced Data Processing Engineer for our client EUMETSAT. You will join the Jason CS Ground SegmentData Processing team in the frame of the Jason CS as well as to the Operations department in the frame of maintenance and evolution of the current data processing systems. You shall support activities related to Phases CD of the Jason CS Programme in the area of data processing engineering, which will include the following tasks In Phase CD Contribute to the Procurement of data processing elements by advising on technical solutions proposed by the contractor and by reviewing documentation to confirm its compliance with the requirements. Management of the requirements baseline for data processing elements. Review of product generation specifications for Level0, Level 1 and Level 2 processors. Refinement of ICDs. Testing, integration and acceptance of data processing elements. In Phase E Contribute to maintenance activities, including characterisation of system component behaviour against required performance, proposal and implementation of system alterations including component modification to achieve required performance. Contribute to evolution activities, including conceptual design, requirements specification, functional modelling, system analysis, and concept development to support increased performance, rationalisation of components, and cost reduction. In addition, there will be regular involvement in the following tasks requiring interaction and coordination with other teams at System and Ground Segment level Review of System, Space Segment and Ground Segment documentation dealing with requirements, concepts, LOL1L2 algorithms and technical analyses of relevance for data processing, including review of instrument data processing algorithms and calibration concepts defined by the Space Segment with emphasis on their implications on Ground Segment data processing concepts, interfaces and architecture. Participation in formal reviews and technical meetings at System and Ground Segment level. Review of documentation dealing with technical evolutions of the EUMETSAT infrastructure. Required Skills and Experience A University degree or equivalent, including experience in engineering, physics, or software or similar. Relevant experience in preparation of requirements, design, interfaces and testing documentation for data processing systems for Earth Observation missions experience on data processing for high data rates missions will be considered an asset. Relevant experience with L0LlL2 processing software for Earth Observation missions, either for operationsmaintenance or specification and development. Knowledge of the requirements engineering process, including relation between requirements, ICDs, design and testing documentation. Ability to learn and develop the needed skills and knowledge to contribute to the development of Jason CS. This includes the ability to rapidly absorb, and make use of, information presented in written and oral communications in a dynamic context. Willingness to work within a multidisciplinary context in cooperation with other teams. The ability to maintain a system overview is essential. You shall have a systematic approach to work, be able to plan your work and to cope with tight schedules and multiple tasks. You shall have the capability to write accurate and consistent technical documentation. Fluencey in written and spoken English. Desirable Skills and Experience Knowledge of the IBM DOORS tool or an equivalent for requirements management. Knowledge of ECSS and CCSDS standards. Work Location Darmstadt, Germany Dates Application Deadline 30 November 2018 Start of Work January 2019 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 30 November 2018 Learn more about us in Facebook
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Can Q4 make up for Concha y Toro's flat sales in 2018? - results data
2018-11-16 14:14:00| Daily beverage news and comment - from just-drinks.com
A second consecutive quarter of flatlining sales sees Concha y Toro hoping for an uptick in the final three months of 2018.
GeoInformation Data Scientist
2018-11-16 13:30:22| Space-careers.com Jobs RSS
Summary An Earth Data Scientist is required to spearhead development of the machine and deep learning activities within the GI group. Objective You will lead the scientific development of new products and applications that use statistics, analytics and machine learning to optimise efficiency and performance. The company is investing heavily in relevant technology and offer the opportunity to be involved in exciting project work within the space sector with scope for further progression and upskilling. Responsibilities Duties Defining developin SARbased services andor technology based upon user requirements Working with customers to establish GeoInformation based needs Developing prototype and proof of concept systems to demonstrate business need Support business development activities from initial customer requirements through to final proposal generation Continuous improvements to automated data handling tools Supporting bid activities Qualifications Experience Degree in mathematics, computer science or equivalent Commercial experience or advanced degreePhD, in data science Strong computer literacy skills, including coding experience in Python Experience with machine and deep learning, particularly the development and optimisation of neural networks Experience of using statistical or data analytics techniques Interest in, and enthusiasm for, climate, environment or Earth observation science Essential Skills Excellent written and oral communication skills Desirable Experience of Earth observation, particularly SAR data Experience of deploying machine learning applications to local and cloud infrastructures An interest in applying data science techniques to spatial datasets Understanding of sound data management and adhering to corporate standards Computing experience of the Linux operating system Inventiveness and problem solving skills Qualities Desire to be a team player capable of working with staff at all levels, alongside the ability to work independently Selfstarter and effective time management, with particular skills in multitasking Good communicator Commercial awareness Further Details All roles within Telespazio VEGA have a defined closing date, however if a successful candidate is found before the advert expires the role will be closed early. We would therefore advise any candidate to apply as early as possible to avoid disappointment. Closing Date for applications is 14 December 2018 Location of the position is Luton, UK To apply Please send your CV and covering letter to careerstelespazio.com By sending your CV to careerstelespazio.com you give your consent for Telespazio VEGA to hold and process your personal information for the purpose of the application. Benefits Competitive Package Security In line with Asylum Immigration Legislation, all applicants must be eligible to live and work in the EU. Documented evidence of eligibility will be required from candidates as part of the recruitment process. Furthermore, in view of the nature of the work the company is in, all potential employees will undergo stringent reference and identity checks.
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