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are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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methodological approaches Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the following is an asset: LCA tools, computational design, structural
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and written English and team-work is required. Programming experience (e.g., Python or MATLAB) and familiarity with pulse sequence development is a plus. What do we offer? You will be part of the Vici
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programming in Python, MATLAB, or C/C++; Experience with detection, classification, and geolocation of RF emitters, with demonstrated application to uncrewed aircraft systems (UAS), ISM-band devices, or similar
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to the Wallenberg AI, Autonomous Systems and Software Program (WASP). This enables interaction with researchers from different research fields and access to various scientific and technical expertise. Data-driven
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 19 days ago
, are to be addressed. Objectives: The research of this PhD will be articulated around the concept of useful landmark for localization in complex environments. Indeed, unlike cases where object detection
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willingness to engage in interdisciplinary and international collaborations across many different fields of expertise Ability to work independently Showing team spirit Good communication skills Experience with
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to cover the difference between the home and international tuition fees. Exceptional international candidates may be provided funding for this difference. Number of places: 1 Number of places extra
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, ELT/ETL pipelines, AI/ML, Unity and Unreal Engine development, shading, real-time simulation, immersive scientific visualisation, digital twin, C/C++, Python are desirable. Applications from both UK and
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electricity risk indices for Europe and test whether firms more exposed to electricity price risk face different market valuations and stock return dynamics. Subject areas: Econometrics, Finance, Mathematical