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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
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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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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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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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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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(such as data annotation, online content creation, or software testing) provide chances for social enterprises – i.e. mission-driven business that prioritize societal impact above maximizing profit, such as
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Job description PhD Researcher for next-generation WiFi chip design on Software-Defined Radio About the employer Ghent University is a world of its own. Employing more than 15.000 people, it is
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implemented this type of skeletal tracking system into their Video Assistant Referee (VAR) process by adopting Semi-Automated Offside Detection (SAOD) technology. Whilst this is a very specific application to
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related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the role of emerging technologies in healthcare
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and supporting research software to predict the key performance indicators of a water network, when links in the network are fully or partially failed. It will investigate the impact of the different