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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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. The project will provide the student with extensive training in large-scale data integration, machine-learning methods, field-based environmental monitoring and eDNA analysis, as well as experience working
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 28 days ago
methodological framework enabling large-scale, automated analysis of the transparency and coherence of data collection practices in mobile mobility applications. The assignments will notably include: analysing
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large data volumes is expected to form a key component of the research program. The DarkSeis and BOPS projects are collaborations between researchers at the Universities of Bristol and Oxford, the British
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, mission-driven communicators who are trusted partners to leaders across the health system. We bring clarity to big priorities, elevate the stories that matter, and give employees the information they need
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the Health Sciences Compensation Plan. UC Salary information can be found here: https://www.ucop.edu/academic-personnel-programs/compensation/2024-25-academic-salary-scales.html Application Window Open date
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Manipulation of large datasets using statistical programming or advanced data management software, such as such as SAS and SQL. Use of Microsoft Office reporting products such as Word, PowerPoint, and Excel
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the robot's physical embodiment suffer from poor generalization, weak explainability, and limited transferability; (ii) sample-inefficient learning requires large volumes of annotated, domain-specific data; and
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environmental engineering Strong foundation in Fluid Dyanmics Able to work independently with strong data analytical skills, communication, and interpersonal skills. Proficient in handling large data sets and the
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, and interpretations of design methods and systems, and simulation data and literature using methodologies and other techniques appropriate for engineering research. These roles are part of a large