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available in the further tabs (e.g. “Application requirements”). Objective Extension of deadline to 4th July 2024 The overall objective of the programme is to provide Myanmar’s next generation with education
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institutions in five European countries and will be supported by a network of industrial and academic partners. About the position The objective of this project is the development and application of soft sensors
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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of collaboration between project partners and monitor the adherence to objectives, milestones, and timelines within the project. Responsibilities also include: Organizing and conducting regular project meetings with
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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research within one of the PhD study projects on offer; training in the technical tasks of the individual dissertation topics through study of the literature and in making the objectives more precise
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are confident in object-oriented programming, preferably in Python You work independently, strategically, and solution-oriented, and demonstrate a high degree of independence and willingness to show
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of the individual dissertation topics through study of the literature and in making the objectives more precise; working on the individual PhD study project with experimental, numerical, metrological or empirical
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Machine Learning Seminar Group Advanced Tutorial Lecture Series on Machine Learning Non-Parametric Bayes Tutorial Course (October 9, 16 and 28, 2008) Bayesian statistics in other labs Machine Learning and
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applications from qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through