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Field
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Atlantic locations. Coordination, logistics, and management of associated sampling campaigns. Processing of algae for blue carbon determination. Statistical analysis of results using the R software package
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robustness against various types of jamming. Integrated Sensing and Communication (ISAC) systems are becoming a key enabling technology for next‑generation wireless networks. However, these systems
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collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and
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support the mission of the university through their work. Qualifications Bachelor's Degree in Computer Science and/or Software Engineering; Master's Preferred Experience in building software infrastructure
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of at least 3 years, including experience gained during doctoral studies; b) Experience in programming in R or other similar software; c) Experience in collecting and analysing neuroimaging data; d) Experience
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
mathematical background with knowledge of numerical optimization and machine learning. With regards to software engineering, proficiency in Python is expected and preliminary experience in a distributed
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP
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programming and/or software engineering Electrical engineering and/or power systems. Application Procedure Informal enquiries are encouraged and should be addressed to Dr Jack Umenberger (jack.umenberger
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team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and techno
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using data-driven methods You do not need to be an expert in machine learning at the start of the PhD, but you should be keen to develop rigorous ML and software engineering skills alongside deep