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Field
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme is designed for students, graduates and doctoral candidates. It aims to help them improve their knowledge
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a related degree program. Experience in laboratory work, materials synthesis, and reactor operation is advantageous. Proficiency with material characterization techniques and tools such as MATLAB
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As a suitable candidate, you hold a very good PhD or master´s degree in industrial engineering, process engineering, chemistry, computer science or similar disciplines. You think analytically, work
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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, preferably in physics, mechanical engineering, materials science, materials engineering, industrial engineering, computer science, chemistry or a comparable course of study Enjoy developing your own ideas and
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, materials science, materials engineering, industrial engineering, computer science, chemistry or another comparable course of study. You are interested in technical challenges in application-oriented research
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for the recognition, classification and characterisation of images in a wide range of dimensions, wavelengths and resolutions. Background: In computer graphics, accurately modeling and controlling structural elements
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examination regulations. What you bring to the table Enrolled student specialising in chemistry, materials science, production engineering or a comparable degree programme Extensive practical experience with
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Research Associate (Postdoc) in Animal Network Ecology § 28 Subsection 2 HmbHG Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Lab of Animal Network
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Master's thesis on the development of a forecasting tool using AI in the field of welding technology
Studies in Computational Engineering, Materials Science, Engineering, or comparable (Bachelor's/Master's) Programming skills, preferably in Python Interest in modern manufacturing technologies and welding