3 security professional jobs found

Job Description *** All completed applications for this position must be submitted online no later than 5:00 pm, on the closing date of the recruitment. PAPER APPLICATIONS WILL NOT BE ACCEPTED .  Please follow all submission instructions to ensure your application is complete.  Resumes will not be accepted in lieu of online applications, therefore, it is important for online applications to be completed fully.  Late applications will not be accepted beyond the closing time and date for any reason, including any technical issues, such as system, browser, or computer failures, etc. ***             Under general supervision, the Port Associate Environmental Planner/Scientist performs professional environmental planning and regulatory compliance work on behalf of Port of Oakland development and operations.  The incumbent manages environmental programs and projects, obtains environmental entitlements, and performs a broad range of...

The Leidos Defense Space Business Area is seeking a talented Optical Materials Scientist to support our Emerging Space Systems Division. In this role, you will drive the development of tunable optical metasurfaces designed to enable multi- and hyper-spectral sensing on next-generation space missions. Our Space Business Area is actively transforming space payload solutions through customer-funded programs and high-impact internal research and development (IR&D) efforts. If you are passionate about enabling groundbreaking capabilities in space-based sensing and working at the intersection of optical simulation, nanofabrication, and laboratory experimentation, we want you on our team. Key Responsibilities Design & Modeling: Lead full-wave electromagnetic modeling to identify, optimize, and evaluate tunable infrared metasurface filters based on phase change materials. Performance Simulation: Architect advanced models to analyze the specific impact of tunable...

Standard Job Description Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making; Develop...